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RSS 2016: Representing and Learning Complex Object Interactions
Multi-Leader and Role-Based Time-Varying Formation Using GPMP2 and Sliding Mode Control
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
RSS 2016 - BEST STUDENT PAPER AWARD, Coordinated multi-arm motion planning
Differentiable Gaussian Process Motion Planning
[SIGGRAPH 2026] MPM Lite: Linear Kernels and Integration without Particles
Gaussian Process Motion Planning
RSS 2016 Video Draft
Gaussian Process Constraint Learning for Scalable Safe Motion Planning from Demonstrations
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Last Updated: August 21, 2026
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![[SIGGRAPH 2026] MPM Lite: Linear Kernels and Integration without Particles](https://i.ytimg.com/vi/48yWaRKZoaU/mqdefault.jpg)
