1 citations · 1 across the 3 of their papers we have counts for
4 papers
Weakly Supervised Discovery of Motion Styles for Compositional Robot Control
Heedo Woo, Antonio Marino, Eduardo Sebastián +1
When a robot possesses more degrees of freedom than a task requires, multiple trajectories can achieve the same objective using distinct motion styles. Compositional robot control…
ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
Michael Amir, Guang Yang, Zhan Gao +3
Constraint-based optimization is a cornerstone of robotics, enabling the design of controllers that reliably encode task and safety requirements such as collision avoidance or form…
D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations
Yuhao Zhang, Keisuke Okumura, Heedo Woo +2
This work presents an optimization method for generating kinodynamically feasible and collision-free multi-robot trajectories that exploits an incremental denoising scheme in diffu…
Docking Multirotors in Close Proximity using Learnt Downwash Models
Ajay Shankar, Heedo Woo, Amanda Prorok
Unmodeled aerodynamic disturbances pose a key challenge for multirotor flight when multiple vehicles are in close proximity to each other. However, certain missions \textit{require…