Selecting appropriate reinforcement-learning algorithms for robot manipulation domains
Risk-bounded coordination of human-robot teams through concurrent intent recognition and adaptation
Robust end-to-end learning for autonomous vehicles
Minimizing redundant communication in vehicle networks for city mapping
Jacobian-based control of soft robots for manipulation using implicit surface models
A cross-platform virtual reality experience
Persistent autonomous exploration, mapping and localization
Moving fast : neural constraints in closed loop ; Neural constraints in closed loop
Integrated perception and control at high speed
Design of efficient, cost effective three phase induction motors for ceiling fans in India
Augmenting physics simulators with neural networks for model learning and control
Computational design of foldable robots via composition
Researching and developing the impacts of virtual identity on computational learning environments
Analytical and simulation models for flexible, robotic automotive assembly lines
Multi-path planning for hydraulic fluid routing
Computational design for the next manufacturing revolution
Realtime state estimation for contact manipulation
Optimization for control and planning of multi-contact dynamic motion