@lucas-schulze.bsky.social
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PhD student at
@ias-tudarmstadt.bsky.social
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🥳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/
1 day ago
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🥳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/
1 day ago
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6
3
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
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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
https://github.com/Schulze18/cadelac
4 months ago
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🎉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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7 months ago
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