9 papers
Reinforcement Learning-Based Control for an Inline Skating Humanoid Robot
Ethan Marot, Thomas Bi, Clemens Schwarke +3
As humanoid robots become increasingly dynamic, coupling them with reinforcement learning offers a promising approach to solving the complex, underactuated mechanics of passive inl…
An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics
Kaixian Qu, Han Wang, Victor Klemm +2
Active perception is a fundamental problem in autonomous robotics in which the robot must decide where to move and what to sense in order to obtain the most informative observation…
AME-2: Agile and Generalized Legged Locomotion via Attention-Based Neural Map Encoding
Chong Zhang, Victor Klemm, Fan Yang +1
Achieving agile and generalized legged locomotion across terrains requires tight integration of perception and control, especially under occlusions and sparse footholds. Existing m…
Learning Deployable Locomotion Control via Differentiable Simulation
Clemens Schwarke, Victor Klemm, Joshua Bagajo +4
Differentiable simulators promise to improve sample efficiency in robot learning by providing analytic gradients of the system dynamics. Yet, their application to contact-rich task…
FOCI: Trajectory Optimization on Gaussian Splats
Mario Gomez Andreu, Maximum Wilder-Smith, Victor Klemm +3
3D Gaussian Splatting (3DGS) has recently gained popularity as a faster alternative to Neural Radiance Fields (NeRFs) in 3D reconstruction and view synthesis methods. Leveraging th…
LEVA: A high-mobility logistic vehicle with legged suspension
Marco Arnold, Lukas Hildebrandt, Kaspar Janssen +15
The autonomous transportation of materials over challenging terrain is a challenge with major economic implications and remains unsolved. This paper introduces LEVA, a high-payload…