The Use of Dynamic Sensing Strategies to Improve Detection for a Pepper Harvesting Robot*This research was supported by the European Commission (SWEEPER GA no. 644313) and by Ben-Gurion University of the Negev through the Helmsley Charitable Trust the Agricultural, Biological and Cognitive Robotics Initiative, the Marcus Endowment Fund, and the Rabbi W. Gunther Plaut Chair in Manufacturing Engineering.
Polina KurtserYael EdanPublished in: IROS (2018)
Keyphrases
- cognitive robotics
- mobile robot
- genetic algorithm ga
- case study
- trust model
- industrial engineering
- real time
- dynamic environments
- genetic algorithm
- computer science
- vision system
- applied sciences
- multi robot
- manufacturing systems
- computer games
- knowledge representation
- e learning
- artificial intelligence
- neural network