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Dynamic spatio-temporal graph neural networks for hot topic prediction in scientific literature
Neuro-evolution search methodologies for collective self-driving vehicles
Energy-time optimal path planning in strong dynamic flows
Development of autonomous driving using ROS
Multi-modal motion planning using composite pose graph optimization
Object localization strategy for a mobile robot using RFID
Selecting appropriate reinforcement-learning algorithms for robot manipulation domains
Risk-bounded coordination of human-robot teams through concurrent intent recognition and adaptation
Balance control and locomotion planning for humanoid robots using nonlinear centroidal models
Dense visual learning for robot manipulation
Learning contact-aware robot controllers from mixed integer optimization
Robust end-to-end learning for autonomous vehicles
Researching and developing the impacts of virtual identity on computational learning environments