Robotic Assistance for Physical Human-Robot Interaction Using a Fuzzy RBF Hand Impedance Compensator and a Neural Network Based Human Motion Intention Estimator.
Shih-Hsuan ChienJyun-Hsiang WangMing-Yang ChengPublished in: IEEE Access (2021)
Keyphrases
- human motion
- human robot interaction
- humanoid robot
- pointing gestures
- robot programming
- manipulation tasks
- service robots
- body parts
- human robot
- motion capture
- human body
- gesture recognition
- image sequences
- human motion tracking
- optical motion capture
- video sequences
- motion sequences
- spatio temporal
- radial basis function
- neural network
- motion recognition
- hand gestures
- human actions
- motion planning
- rbf neural network
- mobile robot
- motion capture data
- fuzzy rules
- human movements
- basis functions
- human movement
- maximum likelihood
- control scheme
- robotic systems
- object recognition
- human motion analysis
- viewpoint
- hidden markov models
- maximum a posteriori
- reinforcement learning
- visual data