Maxim Likhachev is a Professor in the Robotics Institute at Carnegie Mellon University. His research focuses on planning and decision-making for autonomous systems, with particular emphasis on search-based planning algorithms that provide guarantees on completeness and solution quality.
ICLR 2025
Coordinating robots planning using generative models through search-based planning algorithms. We show that this method can be used to solve complex multi-robot motion planning problems under implicit objectives.
ICAPS 2024
We present a novel framework that capitalizes on the structure of conflict-based search to leverage online-generated experiences and accelerate search-based planning for multi-robot manipulation tasks.
ICAPS 2013 — Best Student Paper Honorable Mention
NeurIPS (formerly NIPS) 2005
ICAPS 2005 — Influential Paper Award at ICAPS'17
For a full list of publications, see Google Scholar.