Summary

This research investigates collaborative robot manipulation and motion planning using novel approaches. The “Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation” (Shaoul et al., 2025) paper presents a system for robots to coordinate manipulation tasks without physical grasping, employing flow-matching co-generation. Additionally, “Multi-Robot Motion Planning with Diffusion Models” (Shaoul et al., 2025) explores diffusion models for optimizing multi-robot motion planning, presented at ICLR and AAAI 2025 workshops. Both works involve Yorai Shaoul and collaborators, including Zhe Chen, Naveed Mohamed, Federico Pecora, Maxim Likhachev, Itamar Mishani, and Shivam Vats, and were presented at AAAI-26 and Multi-Agent Path Finding workshops.

Title

Yorai Shaoul

Description

A personal webpage with research and robots.

Keywords

robot, planning, agent, manipulation, diffusion, maxim, models, international, robotics, workshop, path, finding, motion, learning, paper, author, conference

NS Lookup

A 185.199.109.153, A 185.199.111.153, A 185.199.110.153, A 185.199.108.153

Dates

Created 2026-03-08

Updated 2026-03-08

Summarized 2026-03-08