Abstract
The human hand provides excellent grasp capabilities by using the interaction of the thumb and other fingers, and thus, how to dextrously interact with each other can represent the performance of the robot hand. This paper presents the kinematic design optimization for an anthropomorphic robot hand based on the interactivity of fingers. We propose a new performance index, called ‘interactivity of fingers (IF),’ which is useful for quantifying the multifingered precision grasping capability of the robot hand. Using the IF, the kinematic model of an anthropomorphic robot hand is optimized. The optimization is performed by using the genetic algorithm, and position and orientation of the thumb’s saddle joint are systematically determined. In order to verify the usefulness of the proposed performance index, IF of existing hands and that of the optimized model are compared. As a result, the IF of the optimized robot hand is almost five times larger than those of the other hands and the effectiveness of the proposed method is discussed.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Change history
13 March 2019
The Acknowledgements, not given in the original publication, are as follows.
References
Mouri T, Kawasaki H, Yoshikawa K, Takai J, Ito S (2002) Anthropomorphic robot hand: Gifu Hand III. In: International conference on autonomic and autonomous systems, pp 1288–1293
Butterfass J, Grebenstein M (2002) DLR-Hand II. Next generation of a dexterous robot hand. In: International conference on robotics and automation, pp 109–114
Chalon M, Wedler A, Baumann A, et al (2011) Dexhand: a Space qualified multi-fingered robotic hand. In: International conference on robotics and automation, pp 2204–2210
Grebenstein M, Chalon M, Hirzinger G, Siegwart R (2010) Antagonistically driven finger design for the anthropomorphic DLR hand arm system. In: International conference on humanoid robots, pp 609–616
Chalon M, Grebenstein M, Wimbock T, Hirzinger G (2010) The thumb: guidelines for a robotic design. In: International conference on intelligent robots and systems, pp 5886–5893
Wang H, Fan S, Liu H (2012) An anthropomorphic design guideline for the thumb of the dexterous hand. In: International conference on mechatronics and automation, pp 777–782
Inouye JM, Valero-Cuevas FJ (2014) Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization. Int J Robot Res 33(5):694–705
MacKenzie CL, Iberall T (1994) The grasping hand, 1st edn. North Holland, Amsterdam
Napier J, Tuttle HR (1994) Hands. Princeton University Press, Princeton
Melchiorri C, Palli G, Bersell G, Vassura G (2013) Development of the UB hand IV: overview of design solutions and enabling technologies. IEEE Robot Autom Mag 20(3):72–81
Bae J, Park S, Baeg M, Kim D, Oh S (2012) Development of a low cost anthropomorphic robot hand with high capability. In: IEEE/RSJ international conference on intelligent robots and systems
Kim MJ, Choi M, Kim YB, Liu F, Moon H, Koo JC, Choi HR (2014) Exploration of unknown object by active touch of robot hand. Int J Control Autom Syst 12(2):406–414
(2014) The Allegro hand (Internet). (cited 2014 June 26) http://www.simlab.co.kr/Allegro-Hand.htm. Accessed 26 June 2014
Wimbock T, Reinecke J, Chalon M (2012) Derivation and verification of synergy coordinates for the DLR hand arm system. In: International conference on automation science and engineering, pp 454–460
Ficuciello F, Palli G, Melchiorri C, Siciliano B (2011) Experimental evaluation of postural synergies during reach to grasp with the UB hand IV. In: International conference on intelligent robots and systems, pp 1775–1780
Holland JH (1975) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. University of Michigan Press, Ann Arbor
Guo P, Wang X, Han Y (2010) The enhanced genetic algorithms for the optimization design. In: International conference on biomedical engineering and informatics, pp 2990–2994
Yong P, Chongjie D, Huijun Z (2011) Research on genetic algorithm based on pyramid model. In: International symposium on intelligence information processing and trusted computing, pp 83–86
Santos VJ, Valero-Cuevas FJ (2006) Reported anatomical variability naturally leads to multimodal distributions of Denavit-Hartenberg parameters for the human thumb. IEEE Trans Biomed Eng 53(2):155–163
Valero-Cuevas FJ, Johanson ME, Towles JD (2003) Towards a realistic biomechanical model of the thumb: the choice of kinematic description may be more critical than the solution method or the variability / uncertainty of musculoskeletal parameters. J Biomech 36(7):1019–1030
Grebenstein M, Albu-Schaffer A, Bahls T, Chalon M, Eiberger O, Friedl W, Gruber R, Haddadin S, Hagn U, Haslinger R, Hoppner H, Jorg S, Nickl M, Nothhelfer A, Petit F, Reill J, Seitz N, Wimbock T, Wolf S, Wusthoff T, Hirzinger G (2011) The DLR hand arm system. In: International conference on robotics and automation, pp 3175–3182
Ficuciello F, Palli G, Melchiorri C, Siciliano B (2011) Experimental evaluation of postural synergies during reach to grasp with the UB hand IV. In: IEEE/RSJ international conference on intelligent robots and systems, pp 1775–1780
Diftler MA, Mehling JS, Abdallah ME, Radford NA, Bridgwater LB, Sanders AM, Askew RS, Linn DM, Yamokoski JD, Permenter FA, Hargrave BK, Platt R, Savely RT, Ambrose RO (2011) Robonaut 2-the first humanoid robot in space. In: International conference on robotics and automation, pp 2178–2183
Cobos S, Ferre M, Sanchez U, Ortego J, Pena C (2008) Efficient human hand kinematics for manipulation tasks. In: IEEE/RSJ international conference on intelligent robots and systems, pp 2246–2251
Alexander B, Viktor K (2010) Proportions of hand segments. Int J Morphol 28(3):755–758
Nordin M (2001) Basic biomechanics of the musculoskeletal system. Lippincott Williams and Wilkins, Philadelphia
Cobos S, Ferre M, Uran MAS, Ortego J, Pena C (2008) Efficient human hand kinematics for manipulation tasks. In: Intelligent robots and systems, pp 2246–2251
Stillfried G, Smagt Pvd (2010) Movement model of a human hand based on magnetic resonance imaging (MRI). In: International conference on advances in bioscience and bioengineering
Calals B (2007) Anatomy of movement, Revised edn. Eastland Press, Vista, CA
Kapandji IA (1982) The physiology of the joints, 2nd edn. Churchil Livingstone, England
Lee YH, You WS, Kang G, Oh HS, Choi HR (2016) Design of anthropomorphic robot hand with IMC joints. In: International conference on ubiquitous robots and ambient intelligence, pp 336–337
You WS, Lee HY, Oh HS, Kang G, Choi HR (2018) Design of a 3D-printable, robust anthropomorphic robot hand including intermetacarpal joints. Intell Serv Robot. https://doi.org/10.1007/s11370-018-0267-8
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
You, W.S., Lee, Y.H., Kang, G. et al. Kinematic design optimization for anthropomorphic robot hand based on interactivity of fingers. Intel Serv Robotics 12, 197–208 (2019). https://doi.org/10.1007/s11370-019-00274-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11370-019-00274-x