Shared-Autonomy Control for Intuitive Bimanual Tele-Manipulation

Existing dual-arm teleoperation systems function on one-to-one coupling of the human and robotic arms to fully exploit the user's dexterity during bimanual tele-manipulation. While the individual coordination of the robot end-effectors can be necessary for complex and asymmetric tasks, it may result in a cumbersome user experience during symmetric bimanual tasks (e.g. manipulating and carrying objects). In this paper we propose a novel framework that includes the one-to-one direct control and a new shared autonomy strategy. The user can autonomously choose between the two, and if the new one is selected the robots move in a coordinated way, in which desired positions are extrapolated from the movements and gestures of just one users arm. These gesture commands are interpreted and handled by the control, with the purpose of unloading the users cognitive burden. Lastly, the tele-impedance paradigm, i.e., the remote control of robot impedance and position references, is applied to both controls, to improve remote physical interaction performances. The paper reports on the overall proposed architecture, its implementation and its preliminary validation trough a multi subject experimental campaign.

[1]  Claudio Pacchierotti,et al.  Enhancing the Performance of Passive Teleoperation Systems via Cutaneous Feedback , 2015, IEEE Transactions on Haptics.

[2]  Manuel G. Catalano,et al.  Tele-impedance with force feedback under communication time delay , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[3]  Andreas Angerer,et al.  Two-arm Robot Teleoperation using a Multi-touch Tangible User Interface , 2012, ICINCO.

[4]  Antonio Bicchi,et al.  Reduced-complexity representation of the human arm active endpoint stiffness for supervisory control of remote manipulation , 2018, Int. J. Robotics Res..

[5]  Hamad Karki,et al.  Application of robotics in offshore oil and gas industry - A review Part II , 2016, Robotics Auton. Syst..

[6]  Mikel Sagardia,et al.  The DLR bimanual haptic device with optimized workspace , 2011, 2011 IEEE International Conference on Robotics and Automation.

[7]  Marcello Bonfè,et al.  Bilateral teleoperation of a dual arms surgical robot with passive virtual fixtures generation , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[8]  Jordi Artigas Esclusa,et al.  Time domain passivity control for delayed teleoperation , 2014 .

[9]  Andre Schiele,et al.  Time Domain Passivity Controller for 4-Channel Time-Delay Bilateral Teleoperation , 2015, IEEE Transactions on Haptics.

[10]  Oussama Khatib,et al.  Ocean One: A Robotic Avatar for Oceanic Discovery , 2016, IEEE Robotics & Automation Magazine.

[11]  Taewoo Kim,et al.  A robot teaching framework for a redundant dual arm manipulator with teleoperation from exoskeleton motion data , 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

[12]  D. Prattichizzo,et al.  Experimental evaluation of magnified haptic feedback for robot‐assisted needle insertion and palpation , 2017, The international journal of medical robotics + computer assisted surgery : MRCAS.

[13]  A. Bicchi,et al.  WALK-MAN Humanoid Robot : Field Experiments in a Post-earthquake Scenario , 2017 .

[14]  Martin Buss,et al.  Towards a mobile haptic interface for bimanual manipulations , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  Alin Albu-Schäffer,et al.  KONTUR-2: Force-feedback teleoperation from the international space station , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).