8 papers
Cross-Entropy Optimization of Physically Grounded Task and Motion Plans
Andreu Matoses Gimenez, Nils Wilde, Chris Pek +1
Autonomously performing tasks often requires robots to plan high-level discrete actions and continuous low-level motions to realize them. Previous TAMP algorithms have focused main…
Global End-Effector Pose Control of an Underactuated Aerial Manipulator via Reinforcement Learning
Shlok Deshmukh, Javier Alonso-Mora, Sihao Sun
Aerial manipulators, which combine robotic arms with multi-rotor drones, face strict constraints on arm weight and mechanical complexity. In this work, we study a lightweight 2-deg…
Curve-Induced Dynamical Systems on Riemannian Manifolds and Lie Groups
Saray Bakker, Martin Schonger, Tobias Löw +2
Deploying robots in household environments requires safe, adaptable, and interpretable behaviors that respect the geometric structure of tasks. Often represented on Lie groups and…
Impact-Robust Posture Optimization for Aerial Manipulation
Amr Afifi, Ahmad Gazar, Javier Alonso-Mora +2
We present a novel method for optimizing the posture of kinematically redundant torque-controlled robots to improve robustness during impacts. A rigid impact model is used as the b…
Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
Jack Zeng, Andreu Matoses Gimenez, Eugene Vinitsky +2
This paper presents the first decentralized method to enable real-world 6-DoF manipulation of a cable-suspended load using a team of Micro-Aerial Vehicles (MAVs). Our method levera…
Agile and Cooperative Aerial Manipulation of a Cable-Suspended Load
Sihao Sun, Xuerui Wang, Dario Sanalitro +3
Quadrotors can carry slung loads to hard-to-reach locations at high speed. Since a single quadrotor has limited payload capacities, using a team of quadrotors to collaboratively ma…