Faculty

Institution

Unit

Venue

Maxim Likhachev

Professor

Carnegie Mellon University

Affiliations

College of Engineering

Mechanical Engineering

School of Computer Science

The Robotics Institute

Maxim Likhachev is currently serving as a College Of Engineering Professor at Carnegie Mellon University.

Honors

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Experiences

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Education

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Maxim Likhachev

Carnegie Mellon University

Professor

You can click a keyword to filter the displayed items

robotics systems engineering computer science autonomous robots automation robotics automation intelligent robotic systems intelligent robot path planning robot learning trajectory planning combinatorial optimization applied mathematics ai planning computational optimization aerospace engineering heuristic planning planning theory selfdriving car intelligent robotics heuristic search reinforcement learning trajectory optimization control optimization object manipulation robot kinematics unmanned aircraft systems dexterous manipulation autonomous navigation intelligent vehicles control systems task planning local search (optimization) multirobot system intelligent transportation systems heuristic (computer science) advanced motion control aerial robotics urban planning unmanned systems autonomous driving system safety automatic control engineering optimization design automation aircraft geometric algorithms multi-robot teams vehicle localization urban design air traffic management air vehicle system topology optimization aerospace robotics intelligent agents autonomous intelligent systems search-based path planning search-based planning structural optimization shape optimization space robotics complex adaptive systems urban challenge n-arm robots experience graphs homotopy classes site selection optimal winding-constrained loops optimal planning infinite horizons 3-d exploration data efficient framework punctured euclidean spaces anytime pibt planning framework pose uncertainty system engineering education management engineering models of computation cognitive analysis cognitive studies engineering design process electrical insulation soft computing automated deduction image analysis electricity generation electrical engineering technology optical image recognition discrete mathematics mechanical science industrial design thinking skills digital image processing logic in computer science engineering management engineering education theoretical computer science applied artificial intelligence intelligent systems applied cognitive psychology intelligent computing cognition theory of computation cognitive development computational model theory experimental psychology

Notable Scholarly Works

Notable Federal Grants

Collaborators

A-Mha*: Anytime Multi-Heuristic a*. arXiv (2025)

systems engineeringtheory of computationheuristic (computer science)evolutionary computationtheoretical computer sciencemultiagent systemscombinatorial optimizationheuristic searchcomputer science

Anytime Single-Step Mapf Planning With Anytime Pibt. arXiv (2025)

ai planningnavigationroboticscombinatorial optimizationanytime pibtcomputer scienceautonomous robotspath planningoperations research

Attractor-Based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning. PROCEEDINGS OF THE THIRTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI 2025) (2025)

machine intelligenceintelligent computingintelligent systemscombinatorial optimizationdata scienceevolutionary intelligenceheuristic planningcomputational optimizationdesign optimizationartificial intelligenceintelligent robotic systemstheoretical computer scienceheuristic searchintelligent robottheory of computationroboticslocal search (optimization)ai planningsystems engineeringplanning theorycomputational intelligencecomputer science

Attractor-Based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning. (2025)

ai planningclosed listsystems engineeringcomputational optimizationiterated local searchefficient memory-constrained planningheuristic planningartificial intelligencereinforcement learningmemetic computingheuristic searchlist searchcombinatorial optimizationcomputer sciencestate space searchoperations research

Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation. arXiv (2025)

multirobot systemautonomous robotsrobotics automationhuman-robot collaborative assemblyrapid prototypingintelligent robotic systemsrobot controlintelligent robothuman robot interactionautomationmechatronicsindustrial roboticscomputational geometryroboticsfield roboticscomputational engineeringmultiagent systemssystems engineeringswarm intelligencedistributed robotics

Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks. arXiv (2025)

autonomous agent systemsai planningswarm intelligencerobotics automationroboticsplanning theoryindependent tasksconflict-based searchheterogeneous agentsmultiagent systemsmulti-agent planningheterogeneous robot teamautonomous robots

Constant-Time Motion Planning With Manipulation Behaviors. arXiv (2025)

systems engineeringkinematicsrobotics automationroboticstrajectory planningrobot controlautomationautonomous robots

Dynamic Agent Grouping Ecbs: Scaling Windowed Multi-Agent Path Finding With Completeness Guarantees. arXiv (2025)

autonomous agent systemscluster computinggranular computingintelligent systemscombinatorial optimizationevolutionary intelligenceartificial societycomplex systemstheoretical computer sciencenetwork sciencedistributed artificial intelligencenetwork analysisdistributed systemsagent-based systemcomputational scienceapplied mathematicsmultiagent systemsmulti-agent planningsystems engineeringswarm intelligenceagent-based modelscomputer science

Dynamic Agent Grouping Ecbs: Scaling Windowed Multi-Agent Path Finding With Completeness Guarantees. arXiv (Cornell University) (2025)

autonomous agent systemsscalabilitycompleteness guaranteesnetwork analysisdistributed systemsswarm intelligenceagent-based systemmulti-agent path findingmulti-agent mechanism designcombinatorial optimizationapplied mathematicsmultiagent systemsmulti-agent planningcomputer science

Emoa*: A Framework for Search-Based Multi-Objective Path Planning. ARTIFICIAL INTELLIGENCE (2025)

intelligent systemsevolutionary intelligenceroute planningautonomous robotsdesign optimizationmultidisciplinary optimizationintelligent robotic systemsartificial intelligenceintelligent robotautomationroboticsevolutionary computationtrajectory planningmultiagent systemsmulti-agent planningpath planningai planningsystems engineeringevolutionary multi-criterion optimizationcomputer scienceselfdriving car

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Maxim Likhachev

Professor

Carnegie Mellon University

Affiliations

College of Engineering

Mechanical Engineering

School of Computer Science

The Robotics Institute

Maxim Likhachev is currently serving as a College Of Engineering Professor at Carnegie Mellon University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Maxim Likhachev

Carnegie Mellon University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A-Mha*: Anytime Multi-Heuristic a*. arXiv (2025)

systems engineeringtheory of computationheuristic (computer science)evolutionary computationtheoretical computer sciencemultiagent systemscombinatorial optimizationheuristic searchcomputer science

Anytime Single-Step Mapf Planning With Anytime Pibt. arXiv (2025)

ai planningnavigationroboticscombinatorial optimizationanytime pibtcomputer scienceautonomous robotspath planningoperations research

Attractor-Based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning. (2025)

Collaborative Multi-Robot Non-Prehensile Manipulation via Flow-Matching Co-Generation. arXiv (2025)

Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks. arXiv (2025)

Constant-Time Motion Planning With Manipulation Behaviors. arXiv (2025)

systems engineeringkinematicsrobotics automationroboticstrajectory planningrobot controlautomationautonomous robots

Dynamic Agent Grouping Ecbs: Scaling Windowed Multi-Agent Path Finding With Completeness Guarantees. arXiv (2025)

Dynamic Agent Grouping Ecbs: Scaling Windowed Multi-Agent Path Finding With Completeness Guarantees. arXiv (Cornell University) (2025)

Emoa*: A Framework for Search-Based Multi-Objective Path Planning. ARTIFICIAL INTELLIGENCE (2025)

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Similar Faculty Members

Aaron Johnson

Institution

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multiagent systems

digital image processing

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Institution

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game theory

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David Held

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computer science

computer vision

Michael Kaess

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digital image processing

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