7 papers
GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling
Colin Merk, Stefanos Charalambous, Peter Dürr +1
We present GASP, a GPU-Accelerated Safe Planner for real-time, collision-aware joint-space motion generation in known environments. GASP combines a clamped B-spline trajectory para…
Bridging Reinforcement Learning and Optimal Control via Feasible Action Mapping
Stefan Richter, Alberto Giammarino, Guillem Torrente +2
Operating constrained dynamical systems requires controllers to efficiently solve complex tasks while enforcing recursive feasibility and safety constraints. To address these compe…
Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm
Guillem Torrente, Guilherme Jorge Maeda, Divij Grover +3
Table tennis, a dynamic, compact, and popular sport, has received significant attention as a robotics benchmark over the last decades. Most of the research has focused on the rally…
Physics Models for Sim-to-Real Transfer in Professional-Level Robot Table Tennis
Christian Conti, Bilan Yang, Alexander Sigrist +4
At competitive speeds and spins, a table tennis ball follows complex, counterintuitive trajectories that a robot must track and precisely counter within fractions of a second. Trai…
Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games
Yunpu Hu, Fabian Schilling, Valentina Cavinato +6
Spin plays a crucial role in many ball sports due to its effect on the trajectory of the ball. Vision-based estimation of the ball's spin during a game with conventional cameras is…
Hardware Design for Table Tennis Robot Capable of Beating Professional Players
Nobuhiko Mukai, Pavel Adodin, Stefan Heusser +6
This paper focuses on the hardware specifications required for a table tennis robot to beat professional players. After analyzing the motions of elite players, we defined target sp…