works on

From the 1 of 11 linked papers with an AI index.

activity
20242026
collaborators

11 papers

cs.RO2026

Embodying Multi-Hand Manipulation Policies by Searching the Assignment and Null Spaces

Yorai Shaoul, Jiaoyang Li, Maxim Likhachev

Learned manipulation policies increasingly predict motions for abstract "hands" and are attractive in practice because they rely on easily collected demonstrations and transfer acr…

cs.RO2026

Model-Based Diffusion Optimal Control for Multi-Robot Motion Planning

Zhilin He, Yorai Shaoul, Jiaoyang Li

The paper proposes Model-Based Diffusion Optimal Control (MDOC), a planner that generates dynamically feasible, collision‑free trajectories for multiple robots without needing demo…

cs.RO2026

Diffusion for Long-Horizon Multi-Robot Path Planning in Human-Shared Environments

Vaibhav Sanjay, Yorai Shaoul, Jiaoyang Li

Multi-robot path planning in human-shared environments requires a delicate balance between robust inter-robot coordination and socially aware behavior. While diffusion models excel…

cs.RO2026

LAMP: Long-Horizon Adaptive Manipulation Planning for Multi-Robot Collaboration in Cluttered Space

Shuai Zhou, Yorai Shaoul, Jiaoyang Li

Multi-robot manipulation requires jointly reasoning about contact formations, robot motions under coupled dynamics, and collision avoidance. Systematically searching over this larg…

cs.RO2026

MOSAIC: Skill-Centric Manipulation Planning with Physics Simulation

Itamar Mishani, Yorai Shaoul, Maxim Likhachev

Planning long-horizon manipulation motions using a set of predefined skills is a central challenge in robotics; solving it efficiently could enable general-purpose robots to tackle…

cs.MA2026

Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks

Rishi Veerapaneni, Alvin Tang, Haodong He +9

Imagine the future construction site, hospital, or office with dozens of robots bought from different manufacturers. How can we enable these different robots to effectively move in…