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Jahir Argote-Gerald

@jahirargote.bsky.social
927 followers 492 following 350 posts

Swarm robotics PhD researcher @ University of Sheffield | 🇬🇧🇵🇦 Exploring collective intelligence in robots 🐝🤖 | Sharing robotics insights & discoveries 🚀 #swarms #robots #multirobot #multiagent #distributed #robotics #robot

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Jahir Argote-Gerald @jahirargote.bsky.social · 09/08/2026
Why can't legged robots just look where they step? New Science Robotics review: 180 kg payload, 3x BW ground reaction force, 50-200 Hz controllers. But authors admit: no semantic foot placement yet. That gap kills field deployability. doi.org/10.1126/scirobotics.aee0787
Advances, challenges, and opportunities for legged robotsAdvances, challenges, and opportunities for legged robotsAdvances, challenges, and opportunities for legged robotsAdvances, challenges, and opportunities for legged robots
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Jahir Argote-Gerald @jahirargote.bsky.social · 09/08/2026
Why can't legged robots manipulate and walk at the same time? Usually: two controllers fighting over balance. QLIMB runs one end-to-end policy for both, tested on complex terrain. Clever. I want to see it on a real slope. doi.org/10.1109/lra.2026.3712638
QLIMB: End-to-End Whole-Body Control for Quadruped Loco-Manipulation and Balance on Complex TerrainsQLIMB: End-to-End Whole-Body Control for Quadruped Loco-Manipulation and Balance on Complex TerrainsQLIMB: End-to-End Whole-Body Control for Quadruped Loco-Manipulation and Balance on Complex TerrainsQLIMB: End-to-End Whole-Body Control for Quadruped Loco-Manipulation and Balance on Complex Terrains
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Jahir Argote-Gerald @jahirargote.bsky.social · 09/08/2026
Why does syncing humanoid robots make warehouse fleets hard? Each Digit runs its own balance loop. Staying timed to others on top of that is the real problem. Clean studio demo, but the coordination layer is genuinely non-trivial. www.youtube.com/watch?v=vZwYTn3fW1w
Innovation at Agility: Digit does TikTokInnovation at Agility: Digit does TikTokInnovation at Agility: Digit does TikTokInnovation at Agility: Digit does TikTok
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Jahir Argote-Gerald @jahirargote.bsky.social · 08/08/2026
A Bobcat excavator with a hydraulic hammer now self-selects its own rock targets at 10 Hz, 675 ms latency, on a Jetson AGX Orin. Real hardware. Scaled lab only, but the stack is real. arxiv.org/abs/2607.20748v1
A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generationA real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generationA real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generationA real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation
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Jahir Argote-Gerald @jahirargote.bsky.social · 08/08/2026
A humanoid robot learned crowd navigation from 5 hrs of human walking footage. Zero robot data. Glass-wall avoidance emerges naturally. Runs in 10 diffusion steps, 30 ms on edge hardware. ieeexplore.ieee.org/document/115955…
Learning Humanoid Navigation From Human DataLearning Humanoid Navigation From Human DataLearning Humanoid Navigation From Human DataLearning Humanoid Navigation From Human Data
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Jahir Argote-Gerald @jahirargote.bsky.social · 08/08/2026
EKF + neural net hybrid estimates contact forces fast enough for a wheel-biped to stay stable mid-manipulation. Clever architecture. Lab results solid. Field terrain is the real exam. ieeexplore.ieee.org/document/116039…
Agile Wheel-Bipedal Loco-Manipulation With Active Force RejectionAgile Wheel-Bipedal Loco-Manipulation With Active Force RejectionAgile Wheel-Bipedal Loco-Manipulation With Active Force RejectionAgile Wheel-Bipedal Loco-Manipulation With Active Force Rejection
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Jahir Argote-Gerald @jahirargote.bsky.social · 08/08/2026
1000 for 1000. Every trial. Real robots. RL-100 applies PPO inside diffusion denoising, compresses to one-step control, then runs 7 hrs unattended in a mall. ~90% zero-shot under dynamics shifts. Three arms, eight tasks. doi.org/10.1126/scirobotics.aed6267
Performant robotic manipulation with real-world reinforcement learningPerformant robotic manipulation with real-world reinforcement learningPerformant robotic manipulation with real-world reinforcement learningPerformant robotic manipulation with real-world reinforcement learning
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Jahir Argote-Gerald @jahirargote.bsky.social · 08/08/2026
Why can't surgical robots swap functions inside your body? This mm-scale soft robot reprograms its magnetization in <1 sec to switch among 5 surgical modes. 6th-DOF rotation unlocks terrain five-DOF bots can't cross. arxiv.org/abs/2509.15610
Miniature soft robot with magnetically reprogrammable surgical functionsMiniature soft robot with magnetically reprogrammable surgical functionsMiniature soft robot with magnetically reprogrammable surgical functionsMiniature soft robot with magnetically reprogrammable surgical functions
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Jahir Argote-Gerald @jahirargote.bsky.social · 30/07/2026
Everyone is building humanoids. Hello Robot is not. Stretch 4.0: 1 arm, 3 wheels, fits real doorways. Stability over spectacle. Watch it navigate: www.youtube.com/watch?v=AlC1Aon3A4I Is minimal form factor the smarter home robot bet right now?
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Jahir Argote-Gerald @jahirargote.bsky.social · 30/07/2026
10x less visible: this drone spins 25 times per second to blur its own silhouette out of human perception. AI-optimized frame geometry, not just raw speed. Clever perceptual engineering. Thermal and acoustic signatures are a… interestingengineering.com/videos/t…
The Drone That Hides in MotionThe Drone That Hides in MotionThe Drone That Hides in MotionThe Drone That Hides in Motion
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Jahir Argote-Gerald @jahirargote.bsky.social · 26/07/2026
Force sensors are the weak link in deep-sea manipulation. They flood. They drift. This UUV arm estimates contact force from an LSTM dynamics model instead, no hardware required, and autonomously samples hydrothermal vents. Clever architecture. Thin field numbers. doi.org/10.1002/rob.70266
Develop of a Lightweight Underwater Robotic Arm for Automatic Sampling of Seafloor Hydrothermal FluidDevelop of a Lightweight Underwater Robotic Arm for Automatic Sampling of Seafloor Hydrothermal FluidDevelop of a Lightweight Underwater Robotic Arm for Automatic Sampling of Seafloor Hydrothermal FluidDevelop of a Lightweight Underwater Robotic Arm for Automatic Sampling of Seafloor Hydrothermal Fluid
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Jahir Argote-Gerald @jahirargote.bsky.social · 26/07/2026
UAVs can't press sensors to a pier. Suction climbers need flat surfaces. Piers are round. So this team built a frame that encircles the pier instead. Multi-gyro fuzzy PID on FPGA keeps the wheels coordinated. Clever geometry fix. doi.org/10.1002/rob.70308
Multi‐Wheel Cooperative Simultaneous Climbing Control for Bridge Pier Defects DetectionCircular Frame Robot SystemMulti‐Wheel Cooperative Simultaneous Climbing Control for Bridge Pier Defects DetectionCircular Frame Robot SystemMulti‐Wheel Cooperative Simultaneous Climbing Control for Bridge Pier Defects DetectionCircular Frame Robot SystemMulti‐Wheel Cooperative Simultaneous Climbing Control for Bridge Pier Defects DetectionCircular Frame Robot System
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Jahir Argote-Gerald @jahirargote.bsky.social · 26/07/2026
Most manipulation systems chain 3+ separate models together. Unitree's UnifoLM-OminiA-0.3 does vision, language, gesture, and whole-body motion in one. Watch it recover from disturbances without dropping the task. www.youtube.com/watch?v=IiNbFPOUrz8
Real-Time Omni-Modal Interaction Driven Whole-Body Mobile ManipulationReal-Time Omni-Modal Interaction Driven Whole-Body Mobile ManipulationReal-Time Omni-Modal Interaction Driven Whole-Body Mobile ManipulationReal-Time Omni-Modal Interaction Driven Whole-Body Mobile Manipulation
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Jahir Argote-Gerald @jahirargote.bsky.social · 26/07/2026
33.3% better peg insertion. Just from adding touch. OmniVTLA builds a 135K tactile-vision-text dataset, aligns all three modalities via contrastive learning, plugs into a pi0 policy. Real UR5, real gains. Caveat: one sensor type, few unseen objects. ieeexplore.ieee.org/document/115944…
OmniVTLA: Vision-Tactile-Language-Action Models With Semantic-Aligned Tactile SensingOmniVTLA: Vision-Tactile-Language-Action Models With Semantic-Aligned Tactile SensingOmniVTLA: Vision-Tactile-Language-Action Models With Semantic-Aligned Tactile SensingOmniVTLA: Vision-Tactile-Language-Action Models With Semantic-Aligned Tactile Sensing
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Jahir Argote-Gerald @jahirargote.bsky.social · 22/07/2026
A 4-DoF robot arm just hit 20 consecutive catches in a shared 3-ball juggling cascade with a human. Previous record: 4. All 8 participants beat it within 10 min. Real hardware, real balls. arxiv.org/abs/2607.15129v1
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Jahir Argote-Gerald @jahirargote.bsky.social · 22/07/2026
46% success on concave H-shaped objects. That's the honest result hiding inside a genuinely clever idea. Robots that lose sight of the goal turn goal-colored and chain into live beacons around obstacles. Zero comms, vision only. Sim only, but the mechanism is clean. arxiv.org/abs/2605.13006
Occlusion-Based Object Transportation Around Obstacles With a Swarm of Miniature RobotsOcclusion-Based Object Transportation Around Obstacles With a Swarm of Miniature RobotsOcclusion-Based Object Transportation Around Obstacles With a Swarm of Miniature RobotsOcclusion-Based Object Transportation Around Obstacles With a Swarm of Miniature Robots
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Jahir Argote-Gerald @jahirargote.bsky.social · 22/07/2026
No LLM at runtime. Each robot carries the reasoning onboard. LMM decomposes the task offline, an RNN encodes the logic, a GNN executes it. 100% accuracy across 7 tasks, real RoboMasters hardware. ieeexplore.ieee.org/document/116010…
Prompting Robot Teams With Natural LanguagePrompting Robot Teams With Natural LanguagePrompting Robot Teams With Natural LanguagePrompting Robot Teams With Natural Language
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Jahir Argote-Gerald @jahirargote.bsky.social · 22/07/2026
Skip one module in this space truss-climbing controller and vertical-wrench RMSE jumps 31-33%. QP null-space penalization + variable-impedance admittance on position-servo hardware. Ablations actually justify the complexity. ieeexplore.ieee.org/document/115996…
Execution-Level Internal-Load-Regularized Wrench Control for Position-Servo Space Robot in Closed-Chain Truss ClimbingExecution-Level Internal-Load-Regularized Wrench Control for Position-Servo Space Robot in Closed-Chain Truss ClimbingExecution-Level Internal-Load-Regularized Wrench Control for Position-Servo Space Robot in Closed-Chain Truss ClimbingExecution-Level Internal-Load-Regularized Wrench Control for Position-Servo Space Robot in Closed-Chain Truss Climbing
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Jahir Argote-Gerald @jahirargote.bsky.social · 20/07/2026
Why does a breast ultrasound robot lose the tumor when you lie on your side? Posture shift deforms tissue enough to break the scan path. This paper fits patient-specific elastic models from RGB-D cameras alone and cuts localization error by 62%… ieeexplore.ieee.org/document/115994…
Physics-Visual Fusion for Cross-Posture Deformation Mapping in Robotic Breast UltrasoundPhysics-Visual Fusion for Cross-Posture Deformation Mapping in Robotic Breast UltrasoundPhysics-Visual Fusion for Cross-Posture Deformation Mapping in Robotic Breast UltrasoundPhysics-Visual Fusion for Cross-Posture Deformation Mapping in Robotic Breast Ultrasound
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Jahir Argote-Gerald @jahirargote.bsky.social · 20/07/2026
Tendons lie. At every direction reversal, hysteresis hides the true tip position, and you can't fit a sensor there. Hong & Hong show the proximal force plateau already carries the answer. doi.org/10.1109/lra.2026.3711853
Backlash-Like Hysteresis Estimation in Antagonistic Tendon–Sheath Mechanisms Using Proximal-Force Plateau SignaturesBacklash-Like Hysteresis Estimation in Antagonistic Tendon–Sheath Mechanisms Using Proximal-Force Plateau SignaturesBacklash-Like Hysteresis Estimation in Antagonistic Tendon–Sheath Mechanisms Using Proximal-Force Plateau SignaturesBacklash-Like Hysteresis Estimation in Antagonistic Tendon–Sheath Mechanisms Using Proximal-Force Plateau Signatures
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Jahir Argote-Gerald @jahirargote.bsky.social · 19/07/2026
Your orchard robot snaps a branch. MPC saw it coming. Real-time torque sensing + recursive least squares branch stiffness model + MPC replanning = contact forces suppressed, 1mm accuracy held, no joint overload. Clever abstraction. Still… ieeexplore.ieee.org/document/115931…
Real-Time Dynamic Safe Trajectory Planning for Orchard Picking Manipulator: MPC-Based Contact Force SuppressionReal-Time Dynamic Safe Trajectory Planning for Orchard Picking Manipulator: MPC-Based Contact Force SuppressionReal-Time Dynamic Safe Trajectory Planning for Orchard Picking Manipulator: MPC-Based Contact Force SuppressionReal-Time Dynamic Safe Trajectory Planning for Orchard Picking Manipulator: MPC-Based Contact Force Suppression
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Jahir Argote-Gerald @jahirargote.bsky.social · 19/07/2026
Why does one grounded drone cascade into chaos for the whole fleet? New IEEE paper: conflict-free replanning for 100 drones across 5 disruptions in 0.3s, 43% less total delay, no predefined traffic zones. ieeexplore.ieee.org/document/115995…
Real-Time Multi-Drone Replanning for Disruption Management in Urban Aerial Logistics NetworksReal-Time Multi-Drone Replanning for Disruption Management in Urban Aerial Logistics NetworksReal-Time Multi-Drone Replanning for Disruption Management in Urban Aerial Logistics NetworksReal-Time Multi-Drone Replanning for Disruption Management in Urban Aerial Logistics Networks
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Jahir Argote-Gerald @jahirargote.bsky.social · 19/07/2026
BCIs work in the lab. Daily home use is recalibration sessions, training fatigue, and signal drift. IEEE Spectrum asked actual users and the answer is complicated. www.youtube.com/watch?v=JlO2GU-Bdfc
The First Brain Computer InterfacesThe First Brain Computer InterfacesThe First Brain Computer InterfacesThe First Brain Computer Interfaces
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Jahir Argote-Gerald @jahirargote.bsky.social · 19/07/2026
Wheel-legged robots balancing a ball on real grass is a more serious test than it looks. Two coupled problems, outdoor terrain, no lab floor. Full footage: www.youtube.com/watch?v=T1edFaw-wnA
Wheel-Legged Robots Play Football and Balance a Ball | Robotics TestWheel-Legged Robots Play Football and Balance a Ball | Robotics TestWheel-Legged Robots Play Football and Balance a Ball | Robotics TestWheel-Legged Robots Play Football and Balance a Ball | Robotics Test
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Jahir Argote-Gerald @jahirargote.bsky.social · 18/07/2026
Stiff robots break things. Compliant ones drift. CHAI modulates both from natural language in real time, using a diffusion model and passivity-aware impedance control. Ablations are honest. Lab results are clean. Field deployment is the open question. ieeexplore.ieee.org/document/115782…
CHAI – Compliant Human-centered Adaptive Interaction through Diffusion-based Language Trajectory TransformerCHAI – Compliant Human-centered Adaptive Interaction through Diffusion-based Language Trajectory TransformerCHAI – Compliant Human-centered Adaptive Interaction through Diffusion-based Language Trajectory TransformerCHAI – Compliant Human-centered Adaptive Interaction through Diffusion-based Language Trajectory Transformer
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Jahir Argote-Gerald @jahirargote.bsky.social · 18/07/2026
A soft hand that passes the Kapandji thumb test. The trick: two orthogonal servos plus a soft actuator in the thumb-palm, not just better fingers. Feix taxonomy validated. Durability data still needed. ieeexplore.ieee.org/document/115931…
High-DoF Dexterous Soft Hand With an Enhanced Thumb-Palm Composite Design Enables Robust Grasp and Dexterous ManipulationHigh-DoF Dexterous Soft Hand With an Enhanced Thumb-Palm Composite Design Enables Robust Grasp and Dexterous ManipulationHigh-DoF Dexterous Soft Hand With an Enhanced Thumb-Palm Composite Design Enables Robust Grasp and Dexterous ManipulationHigh-DoF Dexterous Soft Hand With an Enhanced Thumb-Palm Composite Design Enables Robust Grasp and Dexterous Manipulation
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Jahir Argote-Gerald @jahirargote.bsky.social · 18/07/2026
Precise manipulation was supposed to need expensive hardware. ALOHA disproves that. ACT hits 80-90% on battery slotting from 10min of demos on a <$20k bimanual setup. In 2026, with VLAs everywhere, this 2023 insight hits harder. arxiv.org/abs/2304.13705
Learning Fine-Grained Bimanual Manipulation with Low-Cost HardwareLearning Fine-Grained Bimanual Manipulation with Low-Cost HardwareLearning Fine-Grained Bimanual Manipulation with Low-Cost HardwareLearning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
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Jahir Argote-Gerald @jahirargote.bsky.social · 17/07/2026
There is a reason robots still can't plug in a cable. This paper gets closer: multimodal diffusion policy, 100 demos, 78% grasp-and-insert vs 36% baseline. The benchmark boards are the real gift. arxiv.org/abs/2607.14021v1
Industrial Dexterity Benchmark: A Hardware-Software Benchmarking Platform for Industrial Dexterous ManipulationIndustrial Dexterity Benchmark: A Hardware-Software Benchmarking Platform for Industrial Dexterous ManipulationIndustrial Dexterity Benchmark: A Hardware-Software Benchmarking Platform for Industrial Dexterous ManipulationIndustrial Dexterity Benchmark: A Hardware-Software Benchmarking Platform for Industrial Dexterous Manipulation
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Jahir Argote-Gerald @jahirargote.bsky.social · 17/07/2026
Wheels or legs? Neither answer is enough. The real frontier is robots that blur the line between rolling, walking, and shape-changing on the fly. Here is the literature that built that idea.
Rolling, Morphing, Hybrid: The Many Shapes of Robot LocomotionRolling, Morphing, Hybrid: The Many Shapes of Robot Locomotion
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Jahir Argote-Gerald @jahirargote.bsky.social · 17/07/2026
Most multi-robot planners ignore traffic until robots are already blocking each other. This RA-L paper prunes congestion-prone task candidates before evaluation, faster planning and better makespan together. Structured environments only for now, but the… doi.org/10.1109/lra.2026.3711507
Congestion-Aware Efficient Multi-Robot Task Planning via Invocation-Pruning Task EvaluationCongestion-Aware Efficient Multi-Robot Task Planning via Invocation-Pruning Task EvaluationCongestion-Aware Efficient Multi-Robot Task Planning via Invocation-Pruning Task EvaluationCongestion-Aware Efficient Multi-Robot Task Planning via Invocation-Pruning Task Evaluation
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Jahir Argote-Gerald @jahirargote.bsky.social · 17/07/2026
Boats steer poorly at low speed. Legs don't. QuadBoat puts four articulated limbs through the hull, propulsion and posture control in one, for the exact moment a thruster USV loses authority near a victim. arxiv.org/abs/2607.13633v1
Design and Control of the "QuadBoat": A Quadruped Surface Vehicle for Drowning RescueDesign and Control of the "QuadBoat": A Quadruped Surface Vehicle for Drowning RescueDesign and Control of the "QuadBoat": A Quadruped Surface Vehicle for Drowning RescueDesign and Control of the "QuadBoat": A Quadruped Surface Vehicle for Drowning Rescue
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Jahir Argote-Gerald @jahirargote.bsky.social · 17/07/2026
Wheels fail on rubble. 32 legs don't. Mochibot locomotes by asymmetric extension of legs on a rhombic triacontahedron: no steering hardware, true omnidirectionality, 31 backups if one leg dies. Elegant geometry. Still no… spectrum.ieee.org/32-legged-spheric…
32-Legged Spherical Robot Moves Like an Amoeba32-Legged Spherical Robot Moves Like an Amoeba32-Legged Spherical Robot Moves Like an Amoeba32-Legged Spherical Robot Moves Like an Amoeba
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Why can't most underwater gliders fit through a door? Fixed wings. FoDeGlider folds and deflects its wings mid-swim, with a model that recomputes inertia and hydrodynamics at every pose. Gate traversal experiments back it up. arxiv.org/abs/2607.13622v1
Design, Modeling and Experimental Validation of a Miniature Hybrid Underwater Glider With Large-Range Foldable Deflectable WingsDesign, Modeling and Experimental Validation of a Miniature Hybrid Underwater Glider With Large-Range Foldable Deflectable WingsDesign, Modeling and Experimental Validation of a Miniature Hybrid Underwater Glider With Large-Range Foldable Deflectable WingsDesign, Modeling and Experimental Validation of a Miniature Hybrid Underwater Glider With Large-Range Foldable Deflectable Wings
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Why can't robots cut hair safely yet? Sustained proximity to the human head, sharp tools, unpredictable user movement. A new JFR paper proposes a 3-layer safety framework to structure the problem. Useful vocabulary. The hard empirical validation is still ahead. doi.org/10.1002/rob.70305
Safety in Robotic HaircuttingSafety in Robotic HaircuttingSafety in Robotic HaircuttingSafety in Robotic Haircutting
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
One motor. No wheels, no legs. SAWbot propels itself with a continuous traveling wave along its body. Single actuator, principled design analysis, real pipe-inspection potential. The friction-surface problem is still the killer. doi.org/10.1109/lra.2026.3710339
Design and Analysis of SAWbot: A Robot Generating Continuous WaveDesign and Analysis of SAWbot: A Robot Generating Continuous WaveDesign and Analysis of SAWbot: A Robot Generating Continuous WaveDesign and Analysis of SAWbot: A Robot Generating Continuous Wave
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Most surface water cleaning robots still need a human nearby. A new JFR review is honest about why: debris detection fails on real rivers, path planning breaks in current and wind, power budgets run out first. Hardware is ready. Autonomy is not. doi.org/10.1002/rob.70303
Surface Water Cleaning Robots: A Structured Review of Technologies, Implementation Challenges, and Future Research DirectionsSurface Water Cleaning Robots: A Structured Review of Technologies, Implementation Challenges, and Future Research DirectionsSurface Water Cleaning Robots: A Structured Review of Technologies, Implementation Challenges, and Future Research DirectionsSurface Water Cleaning Robots: A Structured Review of Technologies, Implementation Challenges, and Future Research Directions
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Subsea grippers still can't match a diver's hand. A new JFR review explains why: sensing degrades, UVMS coupling compounds errors, and no standard benchmark exists to compare designs. First attempt at fixing that last part. doi.org/10.1002/rob.70277
Underwater Grippers for Dexterous Manipulation: A Review on Design and Enabling TechnologiesUnderwater Grippers for Dexterous Manipulation: A Review on Design and Enabling TechnologiesUnderwater Grippers for Dexterous Manipulation: A Review on Design and Enabling TechnologiesUnderwater Grippers for Dexterous Manipulation: A Review on Design and Enabling Technologies
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Offshore wind blade repair: a robot that holds grinding force steady on curved composite surfaces, tuned by a neural net predicting surface roughness in real time. Bench results beat PID and ADRC. The 80m field trial is the missing chapter. doi.org/10.1002/rob.70306
Research on Offshore Wind Turbine Blade Repair Based on Particle Swarm Optimization‐Backpropagation Neural Network and Improved Active Disturbance Rejection ControlResearch on Offshore Wind Turbine Blade Repair Based on Particle Swarm Optimization‐Backpropagation Neural Network and Improved Active Disturbance Rejection ControlResearch on Offshore Wind Turbine Blade Repair Based on Particle Swarm Optimization‐Backpropagation Neural Network and Improved Active Disturbance Rejection ControlResearch on Offshore Wind Turbine Blade Repair Based on Particle Swarm Optimization‐Backpropagation Neural Network and Improved Active Disturbance Rejection Control
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
3 hours underwater, no GPS, no USBL, DVL unreliable. Position still holds. Marquardt & Kang detect current disturbances as statistical anomalies and correct the KF in real time, zero infrastructure. Validated offshore. doi.org/10.1002/rob.70279
Online Localization With Current Disturbances for Autonomous Underwater Vehicles Without Global ReferencesOnline Localization With Current Disturbances for Autonomous Underwater Vehicles Without Global ReferencesOnline Localization With Current Disturbances for Autonomous Underwater Vehicles Without Global ReferencesOnline Localization With Current Disturbances for Autonomous Underwater Vehicles Without Global References
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
A drone that hunts mosquitoes one by one. Tornyol is a micro-drone concept targeting individual insects for pest control. The problem framing is solid. The detection accuracy, endurance, and false-positive rate on beneficial insects are still open questions. tornyol.com
Tornyol — Mosquito Killing Micro-DroneTornyol — Mosquito Killing Micro-DroneTornyol — Mosquito Killing Micro-DroneTornyol — Mosquito Killing Micro-Drone
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Egocentric teleoperation: you see what one robot sees. This paper fuses every robot's feed into a single top-down view. One operator, whole fleet, 84% faster on parallel tasks. Precision takes a hit. Worth that trade? doi.org/10.1126/scirobotics.adz7130
Allocentric teleoperation for variable perspective multirobot coordinationAllocentric teleoperation for variable perspective multirobot coordinationAllocentric teleoperation for variable perspective multirobot coordinationAllocentric teleoperation for variable perspective multirobot coordination
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Rovers fail localization on poor textures, then waste compute trying anyway. This JFR paper flips it: detect matchable terrain first, trigger localization only then. Smarter constraint, not smarter matcher. doi.org/10.1002/rob.70298
An Active Global Localization Framework of Planetary Rover Guided by the Interest Region PerceptionAn Active Global Localization Framework of Planetary Rover Guided by the Interest Region PerceptionAn Active Global Localization Framework of Planetary Rover Guided by the Interest Region PerceptionAn Active Global Localization Framework of Planetary Rover Guided by the Interest Region Perception
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Jahir Argote-Gerald @jahirargote.bsky.social · 16/07/2026
Big hexapods hit a wall: full dynamics too slow, elastic deformation breaks your model. New JFR paper uses a Spring-Muscle abstraction to make real-time force control feasible on rough terrain transitions. Clever biomechanics shortcut. Prototype only so far. doi.org/10.1002/rob.70304
Control Method for Heavy‐Duty Hexapod Robot Walking on Border Terrains Based on a Simplified ModelControl Method for Heavy‐Duty Hexapod Robot Walking on Border Terrains Based on a Simplified ModelControl Method for Heavy‐Duty Hexapod Robot Walking on Border Terrains Based on a Simplified ModelControl Method for Heavy‐Duty Hexapod Robot Walking on Border Terrains Based on a Simplified Model
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Jahir Argote-Gerald @jahirargote.bsky.social · 15/07/2026
6 m/s on a drop-down maneuver. One onboard policy covering stairs, gaps, hurdles, branches. APT-RL generates motion priors from cheap 2D trajectory optimization, then a transformer picks skills in real time. Full video worth watching. doi.org/10.1126/scirobotics.adz7397
Agile perceptive multiskill locomotion for quadrupedal robots in the wildAgile perceptive multiskill locomotion for quadrupedal robots in the wildAgile perceptive multiskill locomotion for quadrupedal robots in the wildAgile perceptive multiskill locomotion for quadrupedal robots in the wild
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Jahir Argote-Gerald @jahirargote.bsky.social · 15/07/2026
Stadium turf, live crowd, broadcast clock. Atlas performed at FIFA World Cup 2026 halftime. The hard part wasn't the backflip. It was surface recalibration, ops timing, and zero margin for failure. Scripted, yes. But that deployment story is real. www.youtube.com/watch?v=cCNkgD3qXvg
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Jahir Argote-Gerald @jahirargote.bsky.social · 15/07/2026
Six regulatory pillars for humanoids from someone inside the industry. Coherent framing. Zero displacement estimates, no liability floor, no incident reporting. This is the opening bid. Researchers should read it that way. www.youtube.com/watch?v=nK85DqmxrGw
Industrial Humanoid Policy: Six recommendations for a healthy humanoid regulatory environmentIndustrial Humanoid Policy: Six recommendations for a healthy humanoid regulatory environmentIndustrial Humanoid Policy: Six recommendations for a healthy humanoid regulatory environmentIndustrial Humanoid Policy: Six recommendations for a healthy humanoid regulatory environment
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Jahir Argote-Gerald @jahirargote.bsky.social · 15/07/2026
50x/sec body tracking across 22 players, multiple vendors, live broadcast, global scale. The IEEE… standards.ieee.org/beyond-standards…
The Standards Behind the Spectacle: How IEEE SA Helps to Enable the World's GameThe Standards Behind the Spectacle: How IEEE SA Helps to Enable the World's GameThe Standards Behind the Spectacle: How IEEE SA Helps to Enable the World's GameThe Standards Behind the Spectacle: How IEEE SA Helps to Enable the World's Game
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Jahir Argote-Gerald @jahirargote.bsky.social · 15/07/2026
No GPS. No camera. One IMU. IONext learns odometry directly from raw inertial sequences, no fusion, no map. High-leverage work for underground and subsea robots where every other sensor has already failed. doi.org/10.1109/lra.2026.3709641
IONext: Unlocking the Next Era of Inertial OdometryIONext: Unlocking the Next Era of Inertial OdometryIONext: Unlocking the Next Era of Inertial OdometryIONext: Unlocking the Next Era of Inertial Odometry
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Jahir Argote-Gerald @jahirargote.bsky.social · 15/07/2026
30 sec of training data. 5ms loop. Matches NMPC at 1/10th the compute. Tight quadrotor formations = downwash chaos. This framework learns the residual aerodynamics while keeping differential flatness intact. Hardware shows 31% tracking error drop. arxiv.org/abs/2607.12275v1
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Jahir Argote-Gerald @jahirargote.bsky.social · 15/07/2026
No sensors. No code. No motors. Leiden microrobots move purely through shape and environmental coupling. Behavior fabricated in, not programmed in. Clever physics. Clinical utility still unproven. robohub.org/developing-active-and-f…
Developing active and flexible microrobotsDeveloping active and flexible microrobotsDeveloping active and flexible microrobotsDeveloping active and flexible microrobots
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