A novel gripper design for multi hand tools grasping under tight clearance constraints and external torque effect
KAUST DepartmentMechanical Engineering Program
Physical Sciences and Engineering (PSE) Division
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
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AbstractA robotic multi tool gripper design and implementation is presented in this paper. The proposed design targets applications where an actuation task is performed using a wide selection of standard hand tools. The manipulation motion is assumed to be rotational which requires a firm grip to account for external torque on the grasped tool. The setup is assumed to be a conventional workshop panel with hand tools being hanged close to each other, which constraints lateral clearance around the target, and near the wall of the panel, which constraints the depth clearance. Off the shelf grippers are mostly heavy and bulky which make them unsuitable for these requirements. Moreover, they are not optimized in terms of power consumption, simplicity and compactness. These generic grippers are mostly designed for pick and place tasks where no external torques other than those caused by the object weight affects the gripper. The design challenge involves building a gripper that is capable of operating in limited clearance space, firmly grip a variety of standard hand tools with different sizes and shapes. The proposed design is optimized for these objectives and offers a low cost and power consumption solution. The design has been validated in lab and outdoor experiments and has been deployed in real operating platform used in an international robotics competition.
CitationShaqura M, Shamma JS (2017) A novel gripper design for multi hand tools grasping under tight clearance constraints and external torque effect. 2017 IEEE International Conference on Mechatronics and Automation (ICMA). Available: http://dx.doi.org/10.1109/icma.2017.8015925.
SponsorsThe authors would like to thank Dr. Samet Guler (Postdoctoral fellow, KAUST) and Mr. Mohammed AlGarni (PhD student, KAUST) for their valuable feedback throughout the design and implementation of the presented work.