Accelerating Multi Agent Planning Using

Accelerating Multi-Agent Planning using Graph Transformers with Near-Optimal Guarantees

Accepted by ICRA 2023 Paper: https://arxiv.org/abs/2301.08451 Project webpage: https://rainorangelemon.github.io/ICRA2023/

Reactive motion generation in unstructured environments remains an open challenge in robotics. Due to the computational ...

Abstract: In this presentation, a cooperative mission planner system is designed to accommodate parallel operation, collective ...

This video is part of our contribution to IEEE Robotics and Automation Letters G-MAPP: GPU-

Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable

Project website: https://gamma.umd.edu/gameopt Supplementary Arxiv Report: https://arxiv.org/abs/2202.11572 We propose ...

This talk aims to invite you to the forefront of MAPF research directly This is a re-recording of my invited talk at EurMAPF-25, ...

Experiment 3 - Solving Multi-agent Planning Tasks by Using Automated Planning (Speed up)

Scaling

Autonomy Talks - 04/04/23 Speaker: Alessandro Zanardi, ETH Zürich Title: Factorization of

Experiment 4 - Solving Multi-agent Planning Tasks by Using Automated Planning

We present background and detailed overview of the Windowed Anytime

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This video shows animations of two trajectories of

[16.412] Sp18 Advanced Lecture: Multi-agent Path Planning I - part 1

Experiment 2 - Solving Multi-agent Planning Tasks by Using Automated Planning

Experiment 3 - Solving Multi-agent Planning Tasks by Using Automated Planning

Theta* for geometric path

This lecture, part of CSE 491 and 895 at Michigan State University, focuses on three pillars of agentic design: