About

Maxim Likhachev is a prominent robotics and artificial intelligence researcher whose work has fundamentally advanced the field of heuristic search-based planning for autonomous systems. Best known for his pioneering contributions to anytime and replanning algorithms, Likhachev has shaped how robots navigate uncertain and dynamic environments. His landmark algorithm ARA* (2003, 595 citations) introduced a principled anytime heuristic search that delivers provably bounded suboptimal solutions while continuously improving answer quality under time constraints. Complementing this, his work on Anytime Dynamic A* (2005, 538 citations) and Fast Replanning (2005, 679 citations) enabled robots to efficiently replan as environmental knowledge evolves in real time. His simplification and extension of D* Lite (2002, 394 citations) further cemented his influence in incremental search methods. Beyond foundational algorithms, Likhachev extended these ideas to dynamic obstacle environments with SIPP (2011, 331 citations), robotic manipulation planning (2010), and topologically-constrained path planning (2012). His research culminated in practical hardware impact through the CHIMP robot platform (2015), designed for complex real-world tasks. With thousands of citations across a tightly focused body of work, Likhachev stands as a defining figure in computationally efficient robot planning research.

Research Focus

Key Achievements

33
H-Index
118
Papers
5,861
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Fast replanning for navigation in unknown terrain
679 citations · 2005
📈 Most Prolific Year: 2021 (13 Papers)
🤝 Key Collaborators: 180
🏛 Institutions: Carnegie Mellon University, University of Pennsylvania, Carnegie Robotics (United States), Georgia Institute of Technology, California University of Pennsylvania, University of California, Merced

Top Papers

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    D*lite
    394 citations · 2002
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Key Collaborators

Contact & Links

Available for collaboration
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