Matt Zucker

About

Matt Zucker is a leading researcher in robot motion planning and legged locomotion, best known for creating CHOMP (Covariant Hamiltonian Optimization for Motion Planning), a groundbreaking trajectory optimization algorithm that uses functional gradient techniques to efficiently generate smooth, collision-free paths. His foundational 2009 paper on CHOMP has garnered over 982 citations, with a subsequent journal publication reaching 738 citations, cementing his influence in the field. Zucker also developed the Multipartite RRT (MP-RRT), an RRT variant for rapid replanning in dynamic environments (268 citations), and pioneered optimization-based approaches for rough terrain legged locomotion, as detailed in his 2011 work (122 citations). His contributions extend to humanoid robotics through his work on the DARPA Robotics Challenge, where he led the development of a general-purpose teleoperation system for the DRC-HUBO robot, tackling tasks like debris clearing and door opening. By combining rigorous optimization theory with practical robotic systems, Zucker has advanced both the theoretical foundations and real-world capabilities of autonomous navigation, making his research essential reading for students and engineers working on motion planning, manipulation, and legged robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   CHOMP: Gradient optimization techniques for efficient motion planning

   982 citations · 2009
2. 2
   CHOMP: Covariant Hamiltonian optimization for motion planning

   738 citations · 2013
3. 3
   Multipartite RRTs for Rapid Replanning in Dynamic Environments

   268 citations · 2007
4. 4
   Optimization and learning for rough terrain legged locomotion

   122 citations · 2011
5. 5
   Adaptive workspace biasing for sampling-based planners

   88 citations · 2008
6. 6
   A General‐purpose System for Teleoperation of the DRC‐HUBO Humanoid Robot

   77 citations · 2015
7. 7
   An optimization approach to rough terrain locomotion

   72 citations · 2010
8. 8
   Continuous trajectory optimization for autonomous humanoid door opening

   25 citations · 2013
9. 9
   Multigrid CHOMP with Local Smoothing

   19 citations · 2013
10. 10
    Reinforcement Planning: RL for optimal planners

    14 citations · 2012

Key Collaborators

Contact & Links