Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands.
Juan Camilo Vasquez TieckHeiko DonatJacques KaiserIgor PericStefan UlbrichArne RoennauJohann Marius ZöllnerRüdiger DillmannPublished in: ICANN (1) (2017)
Keyphrases
- spiking neural networks
- robot arm
- human robot interaction
- vision system
- biologically inspired
- humanoid robot
- manipulation tasks
- human hand
- mobile robot
- motion planning
- motor control
- robotic arm
- spiking neurons
- artificial neural networks
- feed forward
- motor skills
- learning rules
- visual sensor
- neural network
- robot control
- biologically plausible
- back propagation
- training algorithm
- real robot
- robotic systems
- network architecture
- autonomous robots
- gesture recognition
- degrees of freedom
- receptive fields
- multi modal
- reinforcement learning
- genetic algorithm
- machine learning