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Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Self-supervised learning of primitive-based robotic manipulation
Sampling-based exploration strategies for mobile robot autonomy
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Machine learning approaches for detection of robot errors in human brain signals
Learning motion skills for a humanoid robot