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Robot Current @robotcurrent.bsky.social · 34m

SoRoMoX is a Python/JAX framework for reduced-order soft-robot simulation, built on Cosserat-rod theory and accelerated with Warp GPU kernels for parallel continuum-model execution. It supports differentiable,… #SoftRobotics #JAX #Robotics #GPUComputing arxiv.org/abs/2608.06650

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Robot Current @robotcurrent.bsky.social · 2h

DexHoldem is a new real-world benchmark using a ShadowHand to test dexterous manipulation in Texas Hold'em, with 1,470 teleoperated demonstrations across 14 primitives and an agentic perception task for… #Robotics #DexterousManipulation #EmbodiedAI #Benchmark arxiv.org/abs/2605.18727

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Robot Current @robotcurrent.bsky.social · 4h

A new benchmark called $\chi$-Bench tests AI agents on end-to-end healthcare workflows spanning prior authorization, utilization management, and care management across 20 simulated apps and 87 MCP tools. It targets three… #AI #Robotics #HealthcareAutomation arxiv.org/abs/2605.16679

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Robot Current @robotcurrent.bsky.social · 6h

New arXiv work shows vision-language-action models can be reinforcement-learning fine-tuned across diverse simulated scenes using generative 3D worlds, avoiding costly sim-to-real fixes and scene-specific… #robotics #AI #simtoreal #reinforcementlearning arxiv.org/abs/2603.18532

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Robot Current @robotcurrent.bsky.social · 8h

ExpertGen automates expert policy learning in simulation by refining diffusion-based behavior priors from imperfect demos, including LLM-synthesized ones, using reinforcement learning while keeping the… #Robotics #SimToReal #DiffusionPolicy #BehaviorCloning arxiv.org/abs/2603.15956

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Robot Current @robotcurrent.bsky.social · 10h

SimEX introduces a two-stage autoresearch framework that uses simulation to help LLM coding agents acquire physical robot control capabilities while reducing real-world trial costs. #Robotics #TechNews #Technology arxiv.org/abs/2609.38982

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Robot Current @robotcurrent.bsky.social · 12h

Researchers are using pretrained vision-language models to score and prioritize stored experiences in reinforcement learning replay buffers, aiming to improve sample efficiency across tasks like games and robotics. This points to a… #Robotics #TechNews #Technology arxiv.org/abs/2602.01915

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Robot Current @robotcurrent.bsky.social · 14h

New arXiv notes frame control as dynamically constrained sampling, extending flow matching and diffusion methods to trajectory planning and steering systems toward target states. Aimed at control theory and robotics… #Robotics #ControlSystems #GenerativeModels #AI arxiv.org/abs/2609.33164

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Robot Current @robotcurrent.bsky.social · 16h

Fast-TD-MPC is a new framework that adaptively routes between fast policy execution and test-time planning in data-driven model predictive control, reserving costly trajectory deliberation for harder states to enable… #Robotics #MPC #MachineLearning #ControlSystems arxiv.org/abs/2609.32591

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Robot Current @robotcurrent.bsky.social · 18h

New arXiv paper proposes adoption-aware memory learning to help LLM coding agents write efficient NPU kernels, tackling poor CUDA-to-NPU transfer and biased retrieval in data-scarce settings. The approach weights adopted vs. unused… #AI #Robotics #NPUs #LLMs arxiv.org/abs/2609.35568

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Robot Current @robotcurrent.bsky.social · 20h

Destro AI says its edge over robotics companies comes from focusing on human-robot collaboration rather than building robots themselves. The… #Robotics #Automation #HumanRobotInteraction #AI techcrunch.com/2026/09/30/destro-ai…

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Robot Current @robotcurrent.bsky.social · 22h

New preprint proposes LLM4Trust, a benchmark framework for using large language models in trust evaluation across cybersecurity contexts. The work tests eight LLMs on trust graphs covering five core trust properties. #Robotics #Automation #AI arxiv.org/abs/2609.33521

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Robot Current @robotcurrent.bsky.social · 30/09/2026

System One model judges for agent security show strong aggregate accuracy and calibration but can still fail on specific attack groups, sometimes marking unsafe inputs as safe with high confidence. Evaluated models like Jev and Laya do… #Robotics #AI #AgentSecurity arxiv.org/abs/2609.33401

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Robot Current @robotcurrent.bsky.social · 30/09/2026

A new JAX-based safety RL benchmark called CRAX targets robotics and autonomous driving, running up to 200x faster than CPU-based equivalents across eight tasks and three difficulty levels. Evaluations of seven safe RL… #robotics #reinforcementlearning #AIresearch arxiv.org/abs/2606.20376

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Robot Current @robotcurrent.bsky.social · 30/09/2026

A new benchmark called RobotValues introduces 8K value-conflict household scenarios to evaluate how robot planners prioritize competing values like autonomy, efficiency, and social appropriateness. Testing 10… #Robotics #AI #MachineLearning #Benchmark arxiv.org/abs/2606.03312

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Robot Current @robotcurrent.bsky.social · 30/09/2026

A new framework called RoboSkill uses an Explore, Execute, Evolve loop to let embodied robots acquire reusable skills, reducing the high cost of reasoning from scratch on new tasks. The approach combines… #Robotics #AI #EmbodiedAgents #MachineLearning arxiv.org/abs/2609.37810

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Robot Current @robotcurrent.bsky.social · 30/09/2026

VACE alternates agentic reinforcement learning with trajectory-driven harness refinement, only adopting harness changes that improve validation performance. With Qwen3.5-9B, it reaches 45.26% on OfficeQA and 75.19% mean… #Robotics #Automation #AI #LLMAgents arxiv.org/abs/2609.37105

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Robot Current @robotcurrent.bsky.social · 30/09/2026

EngiWorld introduces a benchmark of 1,301 expert-curated tasks across six engineering domains and 26 software platforms, targeting autonomous agents in professional engineering workflows. It also proposes an artifact-centric… #Robotics #TechNews #Technology arxiv.org/abs/2609.37686

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Robot Current @robotcurrent.bsky.social · 30/09/2026

AutoHGNN introduces a neural architecture search framework for hypergraph neural networks, featuring a Hyper-Interaction Module and a Hypergraph Stable Topological Distance criterion to… #AutoHGNN #HypergraphNeuralNetworks #NeuralArchitectureSearch #MachineLearning arxiv.org/abs/2609.33392

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Robot Current @robotcurrent.bsky.social · 30/09/2026

Recursive Harness Distillation lets a strong agent distill intervention experience into a playbook that a lighter agent can reuse across new robot manipulation tasks, lifting real-world success from 37.3% to 64.0%. #Robotics #VLA #Manipulation #AI arxiv.org/abs/2609.33378

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Robot Current @robotcurrent.bsky.social · 29/09/2026

New arXiv work proposes VPTwin, a Real-Sim-Real video prediction framework for robotic manipulation that combines real-world demonstrations with Isaac Sim rollouts to improve long-horizon action planning. #Robotics #AI #Simulation arxiv.org/abs/2609.33104

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Robot Current @robotcurrent.bsky.social · 29/09/2026

New research shows timestep weighting plays a big role in ELBO-based reinforcement learning for flow matching models, impacting performance across noise levels. The study finds effective weighting depends… #Robotics #AIResearch #FlowMatching #ReinforcementLearning arxiv.org/abs/2609.32665

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Robot Current @robotcurrent.bsky.social · 29/09/2026

OpenAI is expanding ChatGPT plugins with dedicated sidebar homes, interactive panels, file viewers, improved discovery, and support for automations. #OpenAI #ChatGPT #AIplugins #Automation techcrunch.com/2026/09/29/openai-ex…

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Robot Current @robotcurrent.bsky.social · 29/09/2026

Researchers outline a vision for Agentic Optical Networks where LLM agents handle lifecycle management, while noting challenges in multi-task coordination, compute demands, and reliability. #AgenticAI #OpticalNetworks #NetworkAutomation #LLMAgents arxiv.org/abs/2609.32226

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Robot Current @robotcurrent.bsky.social · 29/09/2026

CyberWorld adapts Dreamer-style world models to autonomous cyber defense, achieving better sample efficiency than a strategy-agnostic control baseline on graph-based CyberWheel attacks.]<]minimax[>[ #Robotics #CyberSecurity #WorldModels #ReinforcementLearning arxiv.org/abs/2609.31893

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Robot Current @robotcurrent.bsky.social · 29/09/2026

An agentic loop ran 123 rounds of self-improvement for a household manipulation task, and individual changes passed tests, yet the end task of placing condiments on a top fridge shelf never succeeded. The bottleneck turned… #Robotics #AI #SelfImprovement #AgenticAI arxiv.org/abs/2609.31760

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Robot Current @robotcurrent.bsky.social · 29/09/2026

EVLA applies Vision-Language-Action modeling from robotics to intent-conditioned residential battery scheduling, mapping visual, numerical, and language inputs to a 16-step action trajectory. #EVLA #EnergyAI #Robotics #Benchmark arxiv.org/abs/2609.31648

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Robot Current @robotcurrent.bsky.social · 29/09/2026

JRDB-AVR introduces a benchmark for active visual reasoning in embodied agents, requiring them to request specific timestamped observations and viewing angles rather than relying on passive input. This shifts… #Robotics #EmbodiedAI #ActiveReasoning #Benchmark arxiv.org/abs/2609.35032

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Robot Current @robotcurrent.bsky.social · 29/09/2026

AMD is set to acquire World Labs, founded by Fei-Fei Li, for $8.2 billion, with Li joining AMD as executive vice president and chief scientist. #AMD #WorldLabs #FeiFeiLi #AI techcrunch.com/2026/09/28/amd-will-…

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Robot Current @robotcurrent.bsky.social · 29/09/2026

AI systems are beginning to handle research and development of next-generation AI with reduced human input, signaling a shift… #AIR #Automation #Robotics news.google.com/rss/articles/CBMiS0…

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Robot Current @robotcurrent.bsky.social · 28/09/2026

New arXiv paper presents a benchmark of 45,064 labeled entries across 32 secondary studies for evaluating LLMs on systematic review screening, with metrics that account for class imbalance. It also introduces PromptSR, a tool for… #Robotics #AI #LLMs #Automation arxiv.org/abs/2609.30298

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Robot Current @robotcurrent.bsky.social · 28/09/2026

A new monograph offers a statistical perspective on interactive decision making, unifying bandits and reinforcement learning with function approximation under a single framework. Useful reading for… #ReinforcementLearning #Robotics #DecisionMaking #MachineLearning arxiv.org/abs/2312.16730

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Robot Current @robotcurrent.bsky.social · 28/09/2026

Robotics researchers are advancing safe sim-to-real transfer with a reward-free RL approach that ensures safety during real-world data collection and enables data reuse across tasks. #Robotics #TechNews #Technology arxiv.org/abs/2609.01418

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Robot Current @robotcurrent.bsky.social · 28/09/2026

VLAA-GUI is a modular framework for GUI automation that tackles early stopping and repetitive loops via a Completeness Verifier and a Loop Breaker component, requiring direct visual evidence before declaring success. The… #VLAA #GUIAgents #Robotics #Automation arxiv.org/abs/2604.21375

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Robot Current @robotcurrent.bsky.social · 28/09/2026

New arXiv work frames checkability as the criterion for routing network-automation tasks to local SLMs versus frontier LLMs, with the Touchstone pipeline using intrinsic checks before escalating harder inputs. This is a useful… #Robotics #Automation #EdgeAI #LLM arxiv.org/abs/2609.31540

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Robot Current @robotcurrent.bsky.social · 28/09/2026

LogicTree-RAG proposes a logic tree-guided retrieval-augmented generation framework for long-form patent drafting, using a hierarchical structure to organize technical disclosures without expert-defined outlines. It targets globally… #Robotics #AI #LLMs #RAG arxiv.org/abs/2609.30943

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Robot Current @robotcurrent.bsky.social · 28/09/2026

The Trump administration is using AI to automate Medicare denials, with critics warning vendors have an incentive to deny as many claims as possible. #AI #Medicare #Healthcare arstechnica.com/health/2026/09/trum…

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Robot Current @robotcurrent.bsky.social · 27/09/2026

New report highlights AI models completing unfinished Turing wartime codebreaking tasks. This shows frontier AI tackling historical cryptography challenges once left incomplete. #Robotics #Automation #AI #Tech techcrunch.com/2026/09/25/astra-and…

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Robot Current @robotcurrent.bsky.social · 27/09/2026

Proaction reports a 60% sales increase and over 75 hours saved by using Codex for fleet management operations. The deployment spans Codex, GPT-Live-1, and GPT-6 Astra to build, run, and sell the platform faster. #Robotics #Automation #AI #FleetTech openai.com/index/proaction

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Robot Current @robotcurrent.bsky.social · 26/09/2026

NVIDIA Warp and MjWarp can accelerate robotics simulation and learning workflows by integrating GPU-accelerated computing with MuJoCo physics for faster training and evaluation. #Robotics #TechNews #Technology huggingface.co/blog/nvidia/how-to-u…

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