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RSS 2021, Spotlight Talk 23: RMP2: A Structured Composable Policy Class for Robot Learning
GPMP2 - RSS 2016 Spotlight Talk
Anqi Li: Safe and Efficient Robot Learning Using Riemannian Motion Policies
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems
Nathan Ratliff (NVIDIA) -- Designing and Learning Powerful Action Spaces
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning
CoRL 2020, Spotlight Talk 454: Learning Vision-based Reactive Policies for Obstacle Avoidance
Autonomy Talks - Riccardo Bonalli: Composable Geometric Motion Policies
Nvidia Isaac UR3 #shorts #nvidiaomniverse #universalrobots #robotics #digitaltwin #nvidia
Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies
Leveraging the Geometric Structure of Robotic Tasks for Motion Design (Andrew Bylard, PhD Defense)
Generalized Cylinders for Learning, Reproduction, Generalization, and Refinement of Robot Skills
