Discrete Motion Planner based on Deep Recurrent Neural Network for Mobile Robot Obstacle Avoidance in Dead-End Environments.
Satoshi HoshinoJoichiro SumiyoshiPublished in: SII (2022)
Keyphrases
- obstacle avoidance
- recurrent neural networks
- mobile robot
- motion planning
- dead end
- path planning
- path planning algorithm
- autonomous navigation
- dynamic environments
- visual navigation
- autonomous robots
- trajectory planning
- robotic systems
- neural network
- mobile robot navigation
- feed forward
- unknown environments
- autonomous vehicles
- recurrent networks
- complex valued
- motion estimation
- mobile robotics
- multi robot
- motion model
- path finding
- image sequences
- humanoid robot
- indoor environments
- human motion
- search algorithm
- visually guided
- robot control
- optical flow
- artificial neural networks
- hidden layer
- collision free
- visual odometry
- camera motion
- moving objects