activity
20242026
collaborators

7 papers

cs.RO2026

UWB Meets Crazyflow: Simulating Degraded Feedback at Scale for Aerial Robotics

Martin Schuck, Marcel P. Rath, Yufei Hua +3

In this work, we introduce Crazyflow, an accurate, differentiable simulator built on JAX. By leveraging jit compilation via XLA, Crazyflow unifies physics and control into a single…

cs.RO2026

Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL

Martin Schuck, Maks Sorokin, Simone Manni +5

Integrating locomotion and manipulation is essential for robot autonomy, but scaling standard Reinforcement Learning (RL) to complex tasks is severely bottlenecked by the slow, man…

cs.RO2026

Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX

Martin Schuck, Marcel P. Rath, Yufei Hua +3

High-quality, large-scale synthetic data from simulations is becoming a cornerstone for pushing robots' capabilities. While aerial robotics simulators have evolved to support speci…

cs.LG2025

scipy.spatial.transform: Differentiable Framework-Agnostic 3D Transformations in Python

Martin Schuck, Alexander von Rohr, Angela P. Schoellig

Three-dimensional rigid-body transforms, i.e. rotations and translations, are central to modern differentiable machine learning pipelines in robotics, vision, and simulation. Howev…

cs.RO2025

A Primer on SO(3) Action Representations in Deep Reinforcement Learning

Martin Schuck, Sherif Samy, Angela P. Schoellig

Many robotic control tasks require policies to act on orientations, yet the geometry of SO(3) makes this nontrivial. Because SO(3) admits no global, smooth, minimal parameterizatio…

cs.RO2025

CRISP -- Compliant ROS2 Controllers for Learning-Based Manipulation Policies and Teleoperation

Daniel San José Pro, Oliver Hausdörfer, Ralf Römer +3

Learning-based controllers, such as diffusion policies and vision-language action models, often generate low-frequency or discontinuous robot state changes. Achieving smooth refere…

cs.RO2024

SwarmGPT: Combining Large Language Models with Safe Motion Planning for Drone Swarm Choreography

Martin Schuck, Dinushka Orrin Dahanaggamaarachchi, Ben Sprenger +3

Drone swarm performances -- synchronized, expressive aerial displays set to music -- have emerged as a captivating application of modern robotics. Yet designing smooth, safe choreo…