Biologically inspired visual odometry based on the computational model of grid cells for mobile robots.
Huimin LuJunhao XiaoLilian ZhangShaowu YangAndreas ZellPublished in: ROBIO (2016)
Keyphrases
- computational model
- biologically inspired
- visual odometry
- mobile robot
- grid cells
- autonomous navigation
- simultaneous localization and mapping
- path planning
- receptive fields
- potential field
- obstacle avoidance
- indoor environments
- mobile robotics
- computational models
- dynamic environments
- cognitive architecture
- multi robot
- long range
- position information
- robotic systems
- collision avoidance
- ego motion
- autonomous robots
- depth images
- motion planning
- neural network
- d objects
- movement patterns
- computer vision