Maxim Likhachev’s general research interests lie in artificial intelligence and robotics. More specifically, they currently cover planning in deterministic and probabilistic domains and machine learning. His research has been mainly motivated by the problem of fast and intelligent decision making by autonomous robotic systems operating in real-world environments. Some of the robotic systems his group does planning for include mobile manipulators, aerial vehicles, multi-robot systems, and humanoid-like robots.
2005 Ph.D. Computer Science, M.S. Computer Science, Carnegie Mellon University
1999 M.E. Electrical Engineering/Digital Signal Processing, B.S. Mathematics, Stevens Institute of Technology