Functionally Divided Manipulation Synergy for Controlling Multi-fingered Hands

Synergy supplies a practical approach for expressing various postures of a multi-fingered hand. However, a conventional synergy defined for reproducing grasping postures cannot perform general-purpose tasks expected for a multi-fingered hand. Locking the position of particular fingers is essential for a multi-fingered hand to manipulate an object. When using conventional synergy based control to manipulate an object, which requires locking some fingers, the coordination of joints is heavily restricted, decreasing the dexterity of the hand. We propose a functionally divided manipulation synergy (FDMS) method, which provides a synergy-based control to achieves both dimensionality reduction and in-hand manipulation. In FDMS, first, we define the function of each finger of the hand as either "manipulation" or "fixed." Then, we apply synergy control only to the fingers having the manipulation function, so that dexterous manipulations can be realized with few control inputs. The effectiveness of our proposed approach is experimentally verified.

[1]  H. Harry Asada,et al.  Synergistic design of a humanoid hand with hybrid DC motor - SMA array actuators embedded in the palm , 2008, 2008 IEEE International Conference on Robotics and Automation.

[2]  Manuel G. Catalano,et al.  Toward Dexterous Manipulation With Augmented Adaptive Synergies: The Pisa/IIT SoftHand 2 , 2018, IEEE Transactions on Robotics.

[3]  Konrad Paul Kording,et al.  The statistics of natural hand movements , 2008, Experimental Brain Research.

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

[5]  Danica Kragic,et al.  The GRASP Taxonomy of Human Grasp Types , 2016, IEEE Transactions on Human-Machine Systems.

[6]  Caihua Xiong,et al.  Mechanical Implementation of Kinematic Synergy for Continual Grasping Generation of Anthropomorphic Hand , 2015, IEEE/ASME Transactions on Mechatronics.

[7]  Caihua Xiong,et al.  Design and Implementation of an Anthropomorphic Hand for Replicating Human Grasping Functions , 2016, IEEE Transactions on Robotics.

[8]  Bruno Siciliano,et al.  Postural synergies of the UB Hand IV for human-like grasping , 2014, Robotics Auton. Syst..

[9]  Fanny Ficuciello,et al.  Synergy-Based Control of Underactuated Anthropomorphic Hands , 2019, IEEE Transactions on Industrial Informatics.

[10]  Matteo Bianchi,et al.  A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  E. Todorov,et al.  Analysis of the synergies underlying complex hand manipulation , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Manuel G. Catalano,et al.  Adaptive synergies for a humanoid robot hand , 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

[13]  Oishee Mazumder,et al.  Tele-operation of robot hand exploiting human hand synergy , 2015, AIR '15.

[14]  Bruno Siciliano,et al.  Synergy-based policy improvement with path integrals for anthropomorphic hands , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[15]  Clément Gosselin,et al.  On the Design of a Mechanically Programmable Underactuated Anthropomorphic Prosthetic Gripper , 2013 .

[16]  Bruno Siciliano,et al.  The DEXMART hand: Mechatronic design and experimental evaluation of synergy-based control for human-like grasping , 2014, Int. J. Robotics Res..

[17]  Monica Malvezzi,et al.  An Object-Based Approach to Map Human Hand Synergies onto Robotic Hands with Dissimilar Kinematics , 2012, Robotics: Science and Systems.

[18]  Erik D. Engeberg,et al.  Anthropomorphic Control of a Dexterous Artificial Hand via Task Dependent Temporally Synchronized Synergies , 2014 .

[19]  Gerd Hirzinger,et al.  Synergy level impedance control for multifingered hands , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Danica Kragic,et al.  Extracting Postural Synergies for Robotic Grasping , 2013, IEEE Transactions on Robotics.