Dynamic spatio-temporal graph neural networks for hot topic prediction in scientific literature
Neuro-evolution search methodologies for collective self-driving vehicles
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
Interactively designing robots in mixed reality using gestural control
Certified Control in autonomous vehicles with visual lane finding and LiDAR
Learning contact-aware robot controllers from mixed integer optimization
Design of a general framework for synchronizing behaviors in a complex robot
Robust end-to-end learning for autonomous vehicles
Researching and developing the impacts of virtual identity on computational learning environments