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Weiming Zhi

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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