Abstract:
Few years old children lift and manipulate unfamiliar objects more dexterously than today's robots. Thus, robotics researchers increasingly agree that ideas from biology can strongly benefit the design of autonomous robots. In this paper, bio-inspired algorithms for lifting unfamiliar objects with grasp stability and human-like behavior are presented. In these algorithms, simulated human tactile afferent responses, drive the control of the grip and load forces, and signal important events in the lifting task. The presented model and algorithms follow closely the human behavior in a lifting task, as revealed by neurophysiological studies of human dexterous manipulation. © 2012 IEEE.
Registro:
Documento: |
Conferencia
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Título: | Bio-inspired algorithms for tactile control of dexterous manipulation |
Autor: | Herrera, R.M. |
Ciudad: | Rome |
Filiación: | Department of Computer Science, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina
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Palabras clave: | Bio-inspired algorithms; Dexterous manipulation; Human behaviors; Load forces; Algorithms; Behavioral research |
Año: | 2012
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Página de inicio: | 252
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Página de fin: | 257
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DOI: |
http://dx.doi.org/10.1109/BioRob.2012.6290889 |
Título revista: | 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
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Título revista abreviado: | Proc. IEEE RAS EMBS Int. Conf. Biomed. Rob. Biomechatronics, BioRob
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ISSN: | 21551774
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_21551774_v_n_p252_Herrera |
Referencias:
- Howe, R., Popp, N., Akella, P., Kao, I., Cutkosky, M., Grasping, manipulation and control with tactile sensing (1990) Proc. IEEE Int. Conf. Robotics and Automation, pp. 1258-1263
- Cutkosky, M., Hyde, J., Manipulation control with dynamic tactile sensing (1993) Proc. of the 6th International Symposium on Robotics Research
- Israelsson, A., (2002) Simulation of Responses in Afferents from the Glabrous Skin during Human Manipulation, , Master's thesis, Master thesis in Cognitive Science, Umeå University, Umeå, Sweden
- Johansson, R., Sensory and memory information in the control of dexterous manipulation (1996) Neural Bases of Motor Behaviour, pp. 205-260. , F. Lacquaniti and P. Viviani, Eds. Kluwer Academic Publishers
- Johansson, R., Sensory control of dexterous manipulation in humans (1996) Hand and Brain: The Neurophysiology and Psychology of Hand Movements, pp. 381-414. , A. Wing, P. Haggard, and J. Flanagan, Eds. Academic Press
- Gordon, A., Westling, G., Cole, K., Johansson, R., Memory representations underlying motor commands used during manipulation of common and novel objects (1993) Journal of Neurophysiology, 69, pp. 1789-1796
- Johansson, R., Westling, G., Programmed and triggered actions to rapid load changes during precision grip (1988) Exp Brain Res, 71, pp. 72-86
- Matuk Herrera, R., Leoni, F., Bio-inspired control of dexterous manipulation (2005) Lecture Notes in Artificial Intelligence, 3809, pp. 1319-1322
- Johansson, R., Westling, G., Signals in tactile afferents from the fingers eliciting adaptive motor responses during precision grip (1987) Exp Brain Res, 66, pp. 141-154
- Fagergren, A., Ekeberg, O., Forssberg, H., Control strategies correcting inaccurately programmed fingertip forces: Model predictions derived from human behavior (2003) Journal of Neurophysiology, 89 (6), pp. 2904-2916
- Johansson, R., Westling, G., Factors influencing the force control during precision grip (1984) Exp Brain Res, 53, pp. 277-284
- Westling, G., Johansson, R., Responses in glabrous skin mechanoreceptors during precision grip in humans (1987) Exp Brain Res, 66, pp. 128-140
- Matuk Herrera, R., A bio-inspired method for friction estimation (2008) Advances in Artificial Intelligence, 6th Mexican International Conference on Artificial Intelligence MICAI 2007, pp. 385-395. , IEEE CS Press
- Matuk Herrera, R., Multilayer perceptrons for bio-inspired friction estimation (2008) Lecture Notes in Artificial Intelligence, 5097, pp. 828-838
- Matuk Herrera, R., (2008) Dexterous Manipulation in Unknown Environments: A Bioinspired Model, , Ph.D. dissertation, Universidad de Buenos Aires, Argentina
- Matuk Herrera, R., A bio-inspired method for incipient slip detection (2007) Lecture Notes in Artificial Intelligence, 4830, pp. 347-356
Citas:
---------- APA ----------
(2012)
. Bio-inspired algorithms for tactile control of dexterous manipulation. 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012, 252-257.
http://dx.doi.org/10.1109/BioRob.2012.6290889---------- CHICAGO ----------
Herrera, R.M.
"Bio-inspired algorithms for tactile control of dexterous manipulation"
. 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
(2012) : 252-257.
http://dx.doi.org/10.1109/BioRob.2012.6290889---------- MLA ----------
Herrera, R.M.
"Bio-inspired algorithms for tactile control of dexterous manipulation"
. 2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012, 2012, pp. 252-257.
http://dx.doi.org/10.1109/BioRob.2012.6290889---------- VANCOUVER ----------
Herrera, R.M. Bio-inspired algorithms for tactile control of dexterous manipulation. Proc. IEEE RAS EMBS Int. Conf. Biomed. Rob. Biomechatronics, BioRob. 2012:252-257.
http://dx.doi.org/10.1109/BioRob.2012.6290889