Maxim Likhachev

Maxim Likhachev is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University. His research interests include artificial intelligence and robotics, with a focus on planning in deterministic and probabilistic domains and machine learning. His work is motivated by the challenge of enabling fast and intelligent decision-making for autonomous robotic systems in real-world environments. His group develops planning methods for mobile manipulators, aerial vehicles, multi-robot systems, and humanoid-like robots. He can be contacted via email at mlikhach@andrew.cmu.edu or through his website at https://www.meche.engineering.cmu.edu/directory/bios/likhachev-maxim.html.

Maxim Likhachev is a Professor of Robotics at Carnegie Mellon University, specializing in Robotics, Artificial Intelligence, Automated Planning, Heuristic Search, and Learning. His research focuses on developing efficient algorithms for autonomous systems, particularly in dynamic and uncertain environments. Key areas include path planning, replanning, and real-time decision-making for robots and autonomous vehicles. His work emphasizes the integration of heuristic search with learning techniques to improve adaptability and performance. Notable contributions include the development of D* lite, ARA*, and SIPP, which address challenges in motion planning and navigation. His research has significant applications in autonomous driving and robotics.