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
Ben-Gurion University of the Negev
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.
>> 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.
Funding: by the European Commission in the 7th Framework Program, (CROPS GA no 246252)
Contact: Sigal Berman, email: email@example.com