Optimization of Sampling-Based Motion Planning in Dynamic Environments Using Neural Networks.
Philip SchömerMark Timon HünebergJ. Marius ZöllnerPublished in: IV (2020)
Keyphrases
- motion planning
- dynamic environments
- path planning
- mobile robot
- neural network
- trajectory planning
- degrees of freedom
- robot arm
- potential field
- multi robot
- autonomous agents
- collision free
- robotic tasks
- autonomous mobile robot
- obstacle avoidance
- collision avoidance
- humanoid robot
- belief space
- robotic arm
- agent systems
- control law
- configuration space
- highly dynamic environments
- inverse kinematics
- computer vision
- real environment
- path finding
- mechanical systems
- image sequences
- optimal path
- robotic systems
- manipulation tasks
- feature points
- video sequences