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Weiming Zhi
University of Sydney
Interests
Behavior
Fabrics
Diffeomorphisms for control
Latest
Learning for Kinodynamic Tree Expansion
V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes
Global and Reactive Motion Generation with Geometric Fabric Command Sequences
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
Diffeomorphic Transforms for Generalised Imitation Learning
Parallelised Diffeomorphic Sampling-based Motion Planning
Trajectory Generation in New Environments from Past Experiences
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements
Spatiotemporal Learning of Directional Uncertainty in Urban Environments
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
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