arXiv:2609.15082v1 Announce Type: cross
Abstract: Passive counterweights are simple gravity compensators, but a counterweight selected from a single pose is not generally optimal for the configuratio...
By Mohammad Abbadi
The paper introduces a capacity‑aware extension of aerodynamic promptness for redundant multirotors with heterogeneous rotors. It defines the symmetric acceleration capacity (SAC) as the largest zero‑centered rotor‑acceleration interval under bounded torque and drag, and uses SAC to induce a Riemannian metric that yields a state‑attached task‑rate capability matrix and ellipsoid. The resulting drag‑aware aerodynamic manipulability (DAAM) index and its fiberwise maximization provide a task‑coordinate‑invariant criterion for selecting actuator states, demonstrated in low‑dimensional rotor studies and a two‑rotor allocation case that improves force‑tracking performance compared to the pseudoinverse.
By Antonio Franchi
arXiv:2606. 17317v1 Announce Type: cross Abstract: Real-time trajectory generation for on-orbit robotic servicing is challenging due to the nonlinear coupling between spacecraft bus motion, manipulator dynamics, visibility cone, and trajectory-level safety constraints.
By Yuji Takubo, Maximilian Adang, Mac Schwager, Simone D'Amico
arXiv:2503. 08394v5 Announce Type: replace-cross Abstract: Multi-task optimization is typically characterized by a fixed and finite set of tasks.
By Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong
arXiv:2606. 06218v1 Announce Type: cross Abstract: A policy tuned for one robot often behaves differently on another, whether due to the sim-to-real gap, unknown payloads, or the differing dynamics of two instances of the same robot.
By Dongwon Son, Florian Shkurti, Jason Lee, Naman Shah, Beomjoon Kim, Dieter Fox
arXiv:2609.26420v1 Announce Type: cross
Abstract: Text-to-motion models generate plausible human motion but do not model a robot's dynamics; whole-body tracking controllers execute robot references r...
By Raphael Memmesheimer, Sven Behnke
arXiv:2610.00360v1 Announce Type: cross
Abstract: Reinforcement learning (RL) for dexterous manipulation must discover finger-object contacts and then control the object precisely; the action noise t...
By Haoyu Wang, Siyuan Qian, Yanjun Li, Zeyu Zhang, Yandong Guo, Boxin Shi, Hao Tang
arXiv:2606. 12728v2 Announce Type: replace-cross Abstract: Most learned dexterous grasp generators relegate contact forces to a downstream verification step, so a kinematically-plausible pose can still violate the conditions for a stable physical grasp.
By Clinton Enwerem, John S. Baras, Calin Belta
arXiv:2606. 12502v1 Announce Type: cross Abstract: We propose that value -- the quantity goal-directed agents create, destroy, and exchange -- is a lawful structural quantity in the same category as information.
By Cheng Qian
arXiv:2503. 05226v2 Announce Type: replace-cross Abstract: Monte Carlo tree search is attractive for robotic manipulation because it can improve action selection through simulation without requiring a fully differentiable policy.
By Xibai Wang
arXiv:2605.18727v2 Announce Type: replace-cross
Abstract: Evaluating embodied systems with real dexterous hardware requires more than isolated motor-skill tests: an agent must perceive a changing sce...
By Feng Chen, Tianzhe Chu, Li Sun, Pei Zhou, Zhuxiu Xu, Shenghua Gao, Yuexiang Zhai, Yanchao Yang, Yi Ma
arXiv:2607. 16981v1 Announce Type: new Abstract: An agent acting under partial observability must decide when to gather information and which observations are worth their cost.
By Patrick Cooper, Alvaro Velasquez