Evaluating end-effector modalities for warehouse picking: A vacuum gripper vs a 3-finger underactuated hand

This paper studies two end-effector modalities for warehouse picking: (i) a recently developed, underactuated three-finger hand and (ii) a custom built, vacuum-based gripper. The two systems differ on how they pick objects. The first tool provides increased flexibility, while the vacuum alternative is simpler and smaller. The aim is to show how the end-effector influences the success rate and speed of robotic picking. For the study, the same planning process is followed for known poses of multiple objects with different geometries and characteristics. The resulting trajectories are executed on a real system showing that, under different conditions, different types of end-effectors can be beneficial. This motivates the development of hybrid solutions.

[1]  Janet Elizabeth Hope Open Source , 2017, Encyclopedia of GIS.

[2]  Roland Siegwart,et al.  The hand of the DLR Hand Arm System: Designed for interaction , 2012, Int. J. Robotics Res..

[3]  Oliver Brock,et al.  Planning grasp strategies That Exploit Environmental Constraints , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[4]  S. Shankar Sastry,et al.  Task-oriented optimal grasping by multifingered robot hands , 1987, IEEE J. Robotics Autom..

[5]  Peter K. Allen,et al.  Graspit! A versatile simulator for robotic grasping , 2004, IEEE Robotics & Automation Magazine.

[6]  Zheng Wang,et al.  DoraPicker: An autonomous picking system for general objects , 2016, 2016 IEEE International Conference on Automation Science and Engineering (CASE).

[7]  Danica Kragic,et al.  Data-Driven Grasp Synthesis—A Survey , 2013, IEEE Transactions on Robotics.

[8]  Manuel G. Catalano,et al.  Adaptive synergies: An approach to the design of under-actuated robotic hands , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Walterio W. Mayol-Cuevas,et al.  Towards an objective evaluation of underactuated gripper designs , 2016, ArXiv.

[10]  Patrick Beeson,et al.  TRAC-IK: An open-source library for improved solving of generic inverse kinematics , 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

[11]  Siddhartha S. Srinivasa,et al.  Autonomous manipulation with a general-purpose simple hand , 2011, Int. J. Robotics Res..

[12]  Dmitry Berenson,et al.  Estimating part tolerance bounds based on adaptive Cloud-based grasp planning with slip , 2012, 2012 IEEE International Conference on Automation Science and Engineering (CASE).

[13]  João Miguel Vaz Cerqueira,et al.  Development of Several Grasping Techniques , 2015 .

[14]  S. LaValle,et al.  Randomized Kinodynamic Planning , 2001 .

[15]  P. Baker,et al.  An exploration of warehouse automation implementations: cost, service and flexibility issues , 2007 .

[16]  Kostas J. Kyriakopoulos,et al.  Open-source, affordable, modular, light-weight, underactuated robot hands , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Mike Stilman,et al.  Task constrained motion planning in robot joint space , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  T. Asfour,et al.  Simultaneous Grasp and Motion Planning , 2012 .

[19]  Ling Xu,et al.  Human-guided grasp measures improve grasp robustness on physical robot , 2010, 2010 IEEE International Conference on Robotics and Automation.

[20]  Matei T. Ciocarlie,et al.  A design and analysis tool for underactuated compliant hands , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  John J. Craig,et al.  Articulated hands: Force control and kinematic issues , 1981 .

[22]  Stefan Schaal,et al.  Learning to grasp under uncertainty , 2011, 2011 IEEE International Conference on Robotics and Automation.

[23]  Robert D. Howe,et al.  A compliant, underactuated hand for robust manipulation , 2013, Int. J. Robotics Res..

[24]  Robert D. Howe,et al.  The Highly Adaptive SDM Hand: Design and Performance Evaluation , 2010, Int. J. Robotics Res..

[25]  James J. Kuffner,et al.  Physically-based grasp quality evaluation under uncertainty , 2012, 2012 IEEE International Conference on Robotics and Automation.

[26]  John F. Canny,et al.  Planning optimal grasps , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[27]  Jane Shi,et al.  Real-time grasping planning for robotic bin-picking and kitting applications , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[28]  Emilio Frazzoli,et al.  Sampling-based algorithms for optimal motion planning , 2011, Int. J. Robotics Res..

[29]  Alberto Rodriguez,et al.  A two-phase gripper to reorient and grasp , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[30]  Stefano Carpin,et al.  A fast algorithm for grasp quality evaluation using the object wrench space , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[31]  Marc Toussaint,et al.  Uncertainty aware grasping and tactile exploration , 2013, 2013 IEEE International Conference on Robotics and Automation.

[32]  Danica Kragic,et al.  Multi-armed bandit models for 2D grasp planning with uncertainty , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[33]  Máximo A. Roa,et al.  Grasp quality measures: review and performance , 2014, Autonomous Robots.