Estimating contact forces from postural measures in a class of under-actuated robotic hands

Sensing contact forces can be a key enabler for higher order dexterous manipulation in robotic hands. To sense the full range of contact pressure distribution would provide the best solution, but it is in practice unfeasible when considering very deformable and adaptable hands. This paper proposes an approach to estimate the contact forces acting on an under-actuated adaptable hand by combining the compliance model of the hand with the geometric configuration of the hand itself. This is done by introducing reasonable assumptions about the net contact force on each phalanx. The proposed method is introduced and experimentally validated on two fingers of the Pisa/IIT SoftHand.

[1]  Alin Albu-Schäffer,et al.  The DLR hand arm system , 2011, 2011 IEEE International Conference on Robotics and Automation.

[2]  BrockOliver,et al.  A novel type of compliant and underactuated robotic hand for dexterous grasping , 2016 .

[3]  Robert D. Howe,et al.  Determining object geometry with compliance and simple sensors , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Oliver Brock,et al.  Exploitation of environmental constraints in human and robotic grasping , 2015, Int. J. Robotics Res..

[5]  Robert E. Mahony,et al.  Nonlinear Complementary Filters on the Special Orthogonal Group , 2008, IEEE Transactions on Automatic Control.

[6]  Alessandro De Luca,et al.  Sensorless Robot Collision Detection and Hybrid Force/Motion Control , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[7]  Vijay Kumar,et al.  Robotic grasping and contact: a review , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[8]  KappassovZhanat,et al.  Tactile sensing in dexterous robot hands - Review , 2015 .

[9]  Larry L. Howell,et al.  A compliant contact-aided revolute joint , 2005 .

[10]  Manuel G. Catalano,et al.  Grasping with Soft Hands , 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

[11]  Lionel Birglen,et al.  Stiffness Analysis of Underactuated Fingers and Its Application to Proprioceptive Tactile Sensing , 2016, IEEE/ASME Transactions on Mechatronics.

[12]  J. F. Soechting,et al.  Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.

[13]  Giorgio Grioli,et al.  The Quest for Natural Machine Motion: An Open Platform to Fast-Prototyping Articulated Soft Robots , 2017, IEEE Robotics & Automation Magazine.

[14]  Antonio Bicchi,et al.  Modelling natural and artificial hands with synergies , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[15]  John Kenneth Salisbury,et al.  Contact Sensing from Force Measurements , 1990, Int. J. Robotics Res..

[16]  Antonio Bicchi,et al.  Low-cost, fast and accurate reconstruction of robotic and human postures via IMU measurements , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[17]  Cosimo Della Santina,et al.  Dexterity augmentation on a synergistic hand: The Pisa/IIT SoftHand+ , 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

[18]  Véronique Perdereau,et al.  Tactile sensing in dexterous robot hands - Review , 2015, Robotics Auton. Syst..

[19]  Alicia Casals,et al.  A recurrent neural network approach for 3D vision-based force estimation , 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

[20]  G. Whitesides Soft Robotics. , 2018, Angewandte Chemie.

[21]  Cosimo Della Santina,et al.  SoftHand Pro-D: Matching dynamic content of natural user commands with hand embodiment for enhanced prosthesis control , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[22]  Garth Zeglin,et al.  Measuring contact points from displacements with a compliant, articulated robot hand , 2011, 2011 IEEE International Conference on Robotics and Automation.

[23]  Manuel G. Catalano,et al.  Adaptive synergies for the design and control of the Pisa/IIT SoftHand , 2014, Int. J. Robotics Res..

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

[25]  Clément Gosselin,et al.  Underactuated Robotic Hands , 2008, Springer Tracts in Advanced Robotics.

[26]  Antonis A. Argyros,et al.  Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).