CROPS - Intelligent sensing and manipulation for sustainable production and harvesting of high-value crops - clever robots for crops

​Yael Edan(PI) ¹, Amir Shapiro², Ohad Ben-Shahar³, Sigal Berman¹, Helman Stern¹

¹Department of Industrial Engineering and Management, ²Department of Mechanical engineering, ³Department of Computer Science

Abstract

 

The main objective of CROPS is to develop a highly configurable, modular, clever carrier platform and modular parallel manipulators with an array of changeable sensors, algorithms, sprayers, and grippers that are adaptable to new tasks and conditions. The research affiliated with the telerobotic laboratory comprised grasp learning and reach-to-grasp motion planning. Grasp learning for pepper and apple harvesting was achieved through learning from demonstration and through 3D modeling. Motion planning and control was explored by using both classical motion planning methods and dynamic motion primitives.

 

​Selected Publications

 

>> D. Eizicovits, S. Berman, 2014. Efficient sensory-grounded grasp pose quality mapping for gripper design and online grasp planning, Journal of Robotics and Autonomous Systems, 62(8): 1208-1219.

 

More

Link: http://www.crops-robots.eu/

Funding: by the European Commission in the 7th Framework Program, (CROPS GA no 246252)