Lessons learned from lightweight CNN based object recognition for mobile robots.
Andrea-Orsolya FulopLevente TamasPublished in: AQTR (2018)
Keyphrases
- lightweight
- lessons learned
- mobile robot
- object recognition
- cellular neural networks
- case study
- mobile robotics
- path planning
- future directions
- convolutional neural network
- dynamic environments
- computer vision
- unknown environments
- grounded theory
- wireless sensor networks
- autonomous robots
- multi robot
- d objects
- object detection
- robotic systems
- obstacle avoidance
- dos attacks
- communication infrastructure
- motion planning
- development environments
- participatory design
- rfid tags
- image features
- learning environment
- handheld devices
- map building