We address the problem of multi-agent cooperative manipulation, where we aim for jointly optimal paths for all agents and over the full manipulation sequence.

We address the problem of multi-agent cooperative manipulation, where we aim for jointly optimal paths for all agents and over the full manipulation sequence.

We address the problem of multi-agent cooperative manipulation, where we aim for jointly optimal paths for all agents and over the full manipulation sequence.

This work proposes a new approximate solver scheme, combining ideas from branch-and-bound and MCTS and exploiting multiple levels of bounds to better direct ...

To address this challenge, Multi-Bound Tree Search (MBTS) initially resolves more relaxed versions of Equation 1 [65] . The feasibility of these relaxed ...

Jun 3, 2017 · We address the problem of multi-agent cooperative manipulation, where we aim for jointly optimal paths for all agents and over the full ...

May 27, 2017 · ... Bound Tree Search for Logic-Geometric Programming ... Multi-Bound Tree Search for Logic-Geometric Programming in Cooperative Manipulation Domains.

Videos · Multi-Bound Tree Search for Logic-Geometric Programming in Cooperative Manipulation Domains · Preference Learning on the Execution of Collaborative Human ...

Code for the ICRA'17 paper on Multi-Bound Tree Search for Logic-Geometric Programming in Cooperative Manipulation Domains. Note, this is not cleaned at all ...

Toussaint and M. Lopes, Multi-Bound Tree Search for Logic-. Geometric Programming in Cooperative Manipulation Domains. Ac- cepted at ICRA 2017.