Emmanuel Dean
Emmanuel Dean är senior forskare i forskargruppen Automation.
Visar 13 publikationer
Hierarchical Reinforcement Learning Based on Planning Operators
The Importance of Human Factors for Trusted Human-Robot Collaborations
Human-robot collaborative task planning using anticipatory brain responses
Distinct spatio-temporal and spectral brain patterns for different thermal stimuli perception
Quantitative analysis of communication handling for centralized multi-agent robot systems using ROS2
Using Robot Skin to Support Physical Therapy Routines with a Lightweight Upper-Limb Exoskeleton
Motion Prediction Based on Multiple Futures for Dynamic Obstacle Avoidance of Mobile Robots
Interactive Force Control Based on Multimodal Robot Skin for Physical Human-Robot Collaboration
Semantic-based Method for Teaching Industrial Robots New Tasks
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Visar 1 forskningsprojekt
CRAFT-Collaborative-Robot Assistant for Technicians