ML

Maxim Likhachev

Robotics Institute

Carnegie Mellon University

Hands-on6On-time Grad3Emotionally Stable2Flexible Commitments2Overseas Link2Friendly Peers2
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About Maxim Likhachev at Carnegie Mellon University (CMU)

Maxim Likhachev is a Professor of Robotics at Carnegie Mellon University’s Robotics Institute and a leading figure in search-based planning and heuristic search for autonomous systems. His work focuses on developing planning algorithms capable of delivering real-time performance with strong theoretical guarantees, especially in dynamic and partially unknown environments. Likhachev is widely known for influential contributions such as D* Lite, Anytime A*, Anytime Dynamic A*, Safe Interval Path Planning (SIPP), and numerous extensions that form the backbone of modern motion planning and navigation systems for ground vehicles, mobile robots, and autonomous platforms. His research bridges fundamental algorithmic theory with practical deployment, contributing to major milestones in autonomous driving including the DARPA Urban Challenge. He continues to advance scalable and robust planning frameworks for manipulation, multi-agent coordination, and long-horizon decision-making. His work has appeared in IJRR, AIJ, ICRA, IROS, and RSS, significantly shaping the field of robot autonomy.

Research Areas

search-based planningheuristic searchautonomous drivingmotion planningreplanning algorithmsAI planningreal-time planningdynamic environments

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A student recommended this supervisor and marked them as Flexible Commitments, On-time Grad, and Overseas Link

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1 months ago

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A student recommended this supervisor and marked them as Hands-on, Friendly Peers, Clear Vision, and Respects Privacy

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1 months ago

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A student recommended this supervisor and marked them as Hands-on, Friendly Peers, and Flexible Commitments

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1 months ago

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A student recommended this supervisor and marked them as On-time Grad

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4 weeks ago

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A student recommended this supervisor and marked them as Overseas Link, Travel Often, and Generous Stipend

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1 months ago

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