@lucas-schulze.bsky.social
π€ 18
π₯ 21
π 7
PhD student at
@ias-tudarmstadt.bsky.social
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π₯³Our 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). π
arxiv.org/abs/2510.17270
π» Soon! π
schulze18.github.io/felan_website/
1 day ago
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π₯³Our 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). π
arxiv.org/abs/2510.17270
π» Soon! π
schulze18.github.io/felan_website/
1 day ago
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Warming up for
#IROS2025
π₯ Weβre releasing CaDeLaC as open source! - Training pipeline - Integration with acados for adaptive physics-consistent MPC - Simulation + real Franka torque control π»
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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πOur 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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