Home
Research Area
News
Featured Projects
Members
Publications
Contact
NVIDIA Research
Light
Dark
Automatic
Tin Lai
Latest
Learning for Kinodynamic Tree Expansion
Stein Movement Primitives for Adaptive Multi-Modal Trajectory Generation
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
LTR*: Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
Diffeomorphic Transforms for Generalised Imitation Learning
Adaptively Exploiting Local Structure with Generalised Multi-Trees Motion Planning
Parallelised Diffeomorphic Sampling-based Motion Planning
PlannerFlows: Learning Motion Samplers with Normalising Flows
Trajectory Generation in New Environments from Past Experiences
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements
Cite
×