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lucas-schulze.bsky.social

@lucas-schulze.bsky.social
26 followers 22 following 13 posts

PhD student at @ias-tudarmstadt.bsky.social 🇧🇷 in 🇩🇪

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lucas-schulze.bsky.social @lucas-schulze.bsky.social · 02/10/2026
🤖⚛️ Can robots learn better if we teach them physics? Our new survey, “Embedding Physics Priors in Robot Learning: A Survey,” covers 237 methods and 329 references on physics-embedded robot learning. 📄 arxiv.org/abs/2609.22319
arxiv.org
Embedding Physics Priors in Robot Learning: A Survey
The rapid progress of artificial intelligence is reshaping robotics and accelerating the adoption of learning-based approaches. While purely data-driven methods have achieved remarkable success in com...
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lucas-schulze.bsky.social @lucas-schulze.bsky.social · 04/03/2026
Excited to release FeLaN open-source: ✅ JAX training & evaluation pipelines ✅ Baselines: MJX, DeLaN, MLP ✅ Differentiable RNEA in MJX ✅ Open datasets (sim + real): Go2, Talos, Spot, HyQReal2 💻 github.com/schulze18/felan 🌐 schulze18.github.io/felan_website 📄 arxiv.org/abs/2510.17270
github.com
GitHub - Schulze18/felan: Open-source code of Floating-Base Deep Lagrangian Networks (FeLaN).
Open-source code of Floating-Base Deep Lagrangian Networks (FeLaN). - Schulze18/felan
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lucas-schulze.bsky.social @lucas-schulze.bsky.social · 03/02/2026
🥳Our paper "Floating-Base Deep Lagrangian Networks (FeLaN)" has been accepted to #ICRA2026. FeLaN: a grey-box approach for physically consistent SysID of floating-base robots (humanoids, quadrupeds). 📄 arxiv.org/abs/2510.17270 💻 Soon! 🌐 schulze18.github.io/felan_website/
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lucas-schulze.bsky.social @lucas-schulze.bsky.social · 14/10/2025
Warming up for #IROS2025 🔥 We’re releasing CaDeLaC as open source! - Training pipeline - Integration with acados for adaptive physics-consistent MPC - Simulation + real Franka torque control 💻 github.com/Schulze18/ca... @ias-tudarmstadt.bsky.social @jan-peters.bsky.social @olegarenz.bsky.social
github.com
GitHub - Schulze18/cadelac: Context-Aware Deep Lagrangian Networks for Model Predictive Control (CaDeLaC)
Context-Aware Deep Lagrangian Networks for Model Predictive Control (CaDeLaC) - Schulze18/cadelac
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lucas-schulze.bsky.social @lucas-schulze.bsky.social · 18/07/2025
🎉Our paper "Context-Aware Deep Lagrangian Networks for MPC" was accepted at #IROS2025! We present CaDeLaC: adaptive physics-consistent robot control via online SysID + MPC. Paper: arxiv.org/abs/2506.15249 Big thanks to @ias-tudarmstadt.bsky.social @jan-peters.bsky.social @olegarenz.bsky.social
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