Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks.
Stuart EiffertSalah SukkariehPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- humanoid robot
- motion control
- mobile robot
- neural network
- motion planning
- predicting future
- feed forward
- end effector
- recurrent networks
- autonomous navigation
- robot motion
- control signals
- position and orientation
- inverse kinematics
- echo state networks
- image sequences
- motion model
- human motion
- autonomous robots
- reservoir computing
- feedforward neural networks
- human robot interaction
- artificial neural networks
- parallel robot
- path planning
- robot moves
- sagittal plane
- long term
- camera motion
- neural model
- motion estimation
- robot arm
- configuration space
- biologically inspired
- optical flow
- robot manipulators
- collision free
- visual input
- multi robot
- vision system
- learning algorithm
- degrees of freedom
- back propagation
- generative model
- feature points
- visual servoing
- nonlinear dynamic systems