Abstract
In order to realize stable grasping and dexterous manipulation of irregular objects in unstructured environments, a fully-actuated three-fingered multi-modality dexterous hand with precise perception is developed. To enhance the movement performance of the dexterous hand in 3D space, the axis of the metacarpophalangeal (MCP) joint is perpendicular to the other two joint axes to form the 9-DoF hand mechanism, which effectively increases the grasping modalities of the dexterous hand. Meanwhile, high-precision 6-axis force/torque (F/T) sensors are integrated and embedded in distal interphalangeal (DIP) links and fingertips to improve the perception of the dexterous hand. Finally, the precision experiments on F/T sensors and joint movement with the grasping experiment are carried out to evaluate the performance of the hand. The results show that the force and torque errors of the sensors are less than 1\(\%\) and 4\(\%\), the joint movement error of the proposed dexterous hand is less than 1.4 degree. Multi-modality grasping of various objects is performed to show that the high precision and strong grasping capabilities of the proposed dexterous hand.
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Piazza, C., Grioli, G., Catalano, M., Bicchi, A.: A century of robotic hands. Ann. Rev. Control Robot. Auton. Syst. 2, 1–32 (2019)
Nie, K., Wan, W., Harada, K.: A hand combining two simple grippers to pick up and arrange objects for assembly. IEEE Robot. Autom. Lett. 4(2), 958–965 (2019)
Elangovan, N., Gerez, L., Gao, G., Liarokapis M. A multi-modal robotic gripper with a reconfigurable base: improving dexterous manipulation without compromising grasping efficiency. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6124–6130. (2021)
Bridgwater, L.B., Ihrke, C.A., Diftler, M.A., Abdallah, M.E., Radford, N.A., Rogers, J.M., et al.: The Robonaut 2 Hand - Designed to do Work With Tools. In: 2012 IEEE International Conference on Robotics and Automation. pp. 3425–3430. (2012)
Liu, H., Wu, K., Meusel, P., Seitz, N., Hirzinger, G., Jin, M.H., et al.: Multisensory Five-Finger Dexterous Hand: the DLR/HIT Hand II. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 3692–3697. (2008)
Kawasaki, H., Komatsu, T., Uchiyama, K.: Dexterous anthropomorphic robot hand with distributed tactile sensor: Gifu Hand II. IEEE/ASME Trans. Mechatron. 7(3), 296–303 (2002)
Gao, G., Chapman, J., Matsunaga, S., Mariyama, T., MacDonald, B., Liarokapis, M.: A Dexterous, Reconfigurable, Adaptive Robot Hand Combining Anthropomorphic and Interdigitated Configurations. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7209–7215. (2021)
Tian, L., Li, H., Wang, Q., Du, X., Tao, J., Chong, J.S., et al.: Towards Complex and Continuous Manipulation: A Gesture Based Anthropomorphic Robotic Hand Design. IEEE Robot. Autom. Lett. 6(3), 5461–5468 (2021)
McLaren, A., Fitzgerald, Z., Gao, G., Liarokapis, M.: A Passive Closing, Tendon Driven, Adaptive Robot Hand for Ultra-Fast, Aerial Grasping and Perching. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5602–5607. (2019)
Chen, T., Wang, L., Haas-Heger, M., Ciocarlie, M.: Underactuation Design for Tendon-Driven Hands via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces. IEEE Trans. Robot. 36(3), 708–723 (2020)
Odhner, L.U., Jentoft, L.P., Claffee, M.R., Corson, N., Tenzer, Y., Ma, R.R., et al.: A Compliant, Underactuated Hand for Robust Manipulation. Int. J. Robot. Res. 33(5), 736–752 (2014)
Hirose, T., Kakiuchi, Y., Okada, K., Inaba, M.: Design of Soft Flexible Wire-driven Finger Mechanism for Contact Pressure Distribution. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4699–705. (2019)
Okada, T.: Computer Control of Multijointed Finger System for Precise Object-Handling. IEEE Trans. Syst. Man. Cybern. 12(3), 289–299 (1982)
Salisbury, J.K., Craig, J.J.: Articulated Hands: Force Control and Kinematic Issues. Int. J. Robot. Res. 1(1), 4–17 (1982)
Jacobsen, S.C., Wood, J.E., Knutti, D.F., Biggers, K.B.: The UTAH/M.I.T. Dextrous Hand: Work in Progress. Int. J. Robot. Res. 3(4), 21–50 (1984)
Namiki, A., Imai, Y., Ishikawa, M., Kaneko, M.: Development of a High-Speed Multifingered Hand System and its Application to Catching. In: Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), vol. 3, pp. 2666–2671. (2003)
Chen, W., Wang, Y., Xiao, Z., Zhao, Z., Yan, C., Li, Z.: Design and Experiments of a Three-Fingered Dexterous Hand Based on Biomechanical Characteristics of Human Hand Synergies. IEEE/ASME Trans. Mechatronics. 27(5), 2930–2941 (2021)
Zeng, C., Li, S., Jiang, Y., Li, Q., Chen, Z., Yang, C., et al.: Learning Compliant Grasping and Manipulation by Teleoperation with Adaptive Force Control. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 717–724. (2021)
Liang, H., Cong, L., Hendrich, N., Li, S., Sun, F., Zhang, J.: Multifingered Grasping Based on Multimodal Reinforcement Learning. IEEE Robot. Autom. Lett. 7(2), 1174–1181 (2022)
Wang, T., Geng, Z., Kang, B., Luo, X.: Eagle Shoal: A New Designed Modular Tactile Sensing Dexterous Hand for Domestic Service Robots. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 9087–9093. (2019)
Townsend, W.: The BarrettHand Grasper - Programmably Flexible Part Handling and Assembly. Ind Robot. 27(3), 181–188 (2000)
Zhang, Z.: A Flexible New Technique for Camera Calibration. IEEE Trans. Pattern. Anal. Mach. Intell. 22(11), 1330–1334 (2000)
Craig, J.J.: Introduction to robotics: mechanics and control. Pearson Educacion, USA (2005)
Acknowledgements
The authors would like to thank Sunrise Instruments Inc. for continuous working and reasonable suggestions on the dexterous hand.
Funding
This work was supported in part by the Natural Science Foundation of Guangxi (Grant No. 2022JJB170009), and in part by the funding of basic ability promotion project for young and middle-aged teachers in Guangxi’s colleges and universities (Grant No. 2022KY0008). Feng Shuang acknowledges support by the Bagui Scholar Program of Guangxi.
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Mingqi Chen: Configuration design, control system, experimental evaluation, visualization. Shaodong Li: Finger design, control system, supervision. Feng Shuang: Configuration design, F/T sensor design, supervision. Yang Du: Experimental evaluation, visualization. Xi Liu: Visualization and video demonstration.
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Chen, M., Li, S., Shuang, F. et al. Development of a Three-Fingered Multi-Modality Dexterous Hand with Integrated Embedded High-Dimensional Sensors. J Intell Robot Syst 108, 24 (2023). https://doi.org/10.1007/s10846-023-01875-6
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DOI: https://doi.org/10.1007/s10846-023-01875-6