Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture.
Florian MirusBenjamin ZornJörg ConradtPublished in: ESANN (2019)
Keyphrases
- short term
- control architecture
- trajectory planning
- reinforcement learning
- long term
- motion planning
- autonomous agents
- obstacle avoidance
- dynamic environments
- robotic systems
- control system
- path planning
- robot manipulators
- mobile robot
- control strategy
- short term and long term
- load forecasting
- long term memory
- forecasting model
- short and long term
- medium term
- wind speed
- multi agent
- learning algorithm
- real time
- fuzzy neural network
- state space
- computer vision
- pid controller
- multi robot
- multiagent systems
- neural network