Rolf Pfeifer
Skip Abstract Section
Abstract
Soft materials may enable the automation of tasks beyond the capacities of current robotic technology.
- Asada, M., Hosoda, K., Kuniyoshi, Y., Ishiguro, H., Inui, T., Yoshikawa, Y., Ogino, M. and Yoshida, C. Cognitive developmental robotics: A survey. IEEE Trans. on Autonomous Mental Development 1, 1 (2009), 12--34. Google Scholar
Digital Library
- Ayers, J. and Witting, J. Biomimetic approaches to the control of underwater walking machines. Phil. Trans. A Math. Phys. Eng. Sci. 365, 1850 (2007), 273--295.Google ScholarCross Ref
- Billard, A., Calinon, S., Dillmann, R. and Schaal, S. Robot programming by demonstration. Handbook of Robotics. B. Siciliano and O. Khatib, eds. Springer-Verlag, Berlin, Heidelberg, 2008, 1372--1394.Google Scholar
- Bongard, J.C. Morphological change in machines accelerates the evolution of robust behavior. Proc. Nat. Acad. Sciences USA (2011).Google ScholarCross Ref
- Brooks, R.A. A robust layered control system for a mobile robot. IEE Journal of Robotics and Automation, RA-2 (1986), 14--23.Google ScholarCross Ref
- Brooks, R.A. Cambrian Intelligence: The Early History of the New AI. MIT Press, Cambridge, MA, 1999. Google ScholarDigital Library
- Conradt, J., Cook, M., Berner, R., Lichsteiner, P., Douglas, R.J. and Delbruck, T. A pencil-balancing robot using a pair of AER dynamic vision sensors. In Proc. of Int. Conf. on Circuits and Systems, (2009), 781--784.Google ScholarCross Ref
- Cory, R. Supermaneuverable Perching. Ph.D. Thesis. MIT, Cambridge, MA, June 2010. Google ScholarDigital Library
- Cutkosky, M.R. and Kim, S. Design and fabrication of multi-material structures for bioinspired robots. Phil. Trans. R. Soc. 367, (2009), 1799--1813.Google ScholarCross Ref
- Dahiya, R.S., Metta, G., Valle, M. and Sandini, G. Tactile sensing---From humans to humanoids. IEEE Trans. on Robotics 26 (2010), 1--20. Google ScholarDigital Library
- Dillmann, R., Asfour, T., Cheng, G. and Ude, A. Toward cognitive humanoid robots. Special Issue: Int. J. of Humanoid Robotics 5, 2 (2008).Google Scholar
- Dollar, A.M and Howe, H.D. The highly adaptive SDM hand: Design and performance evaluation. Int. J. of Robotics Research 29, 5 (2010), 585--597. Google ScholarDigital Library
- Fiazza, C., Salumae, T., Listak, M. et al. Biomimetic mechanical design for soft-bodied underwater vehicles. In Proc. of IEEE Oceans (2010), 1--7.Google Scholar
- Floreano, D. and Mattiussi, C. Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. MIT Press, Cambridge, MA, 2008. Google ScholarDigital Library
- Floyd, S. and Sitti, M. Design and development of the lifting and propulsion mechanism for a biologically inspired water running robot. IEEE Trans. on Robotics 24, 3 (2008): 698--709. Google ScholarDigital Library
- Gates, B. A robot in every home. Scientific American (Jan. 2007) 58--65.Google Scholar
- Hoffmann, M., Marques, H.G., Arieta, A., Sumioka, H., Lungarella, M. and Pfeifer, R. Body schema in robotics: A review. IEEE Trans. on Autonomous Mental Development 2, 4 (2010), 304--324. Google ScholarDigital Library
- Hosoda, K., Sakaguchi, Y., Takayama, H. and Takuma, T. Pneumatic-driven jumping robot with anthropomimetic muscular skeleton structure. Autonomous Robots 28, 3 (2009), 307--316. Google ScholarDigital Library
- Iida, F. Biologically inspired motor control for underactuated robots---Trends and challenges. Robot Motion and Control, K.R. Kozlowski, ed. LNCIS 396, (2009), 145--154.Google Scholar
- Ijspeert, A.J., Crespi, A., Ryczko, D. and Cabelguen, J.M. From swimming to walking with a salamander robot driven by a spinal cord model. Science 315, 5817 (2007), 1416--1420.Google ScholarCross Ref
- Kemp, C.C., Edsinger, A. and Torres-Jara, E. Challenges for robot manipulation in human environments. IEEE Robotics and Automation Magazine 14 (2007), 20--29.Google ScholarCross Ref
- Kovac, M., Schlegel, M., Zufferey, J.-C. and Floreano, D. Steerable miniature jumping robot. Autonomous Robot 28 (2010), 295--306. Google ScholarDigital Library
- Laschi, C., Mazzolai, B., Cianchetti, M., Margheri, L., Follador, M. and Dario, P. A soft robot arm inspired by the octopus. Advanced Robotics 26, 7 (2012), 709--727.Google ScholarCross Ref
- Lens, T., Kunz, J., Trommer, C., Karguth, A. and von Stryk, O. BioRob-Arm: A quickly deployable and intrinsically safe, light-weight robot arm for service robotics applications. In Proc. of 41st Intl. Symp. on Robotics, (2010), 905--910.Google Scholar
- Li, Z., Weiren, S. and Zhi, Z. Simulated distribution of the retinal photoreceptors for space variant resolution imaging. Information Technology Journal 8, 5 (2009), 717--725.Google ScholarCross Ref
- Lin, H.-T., Leisk, G.G. and Trimmer, B. GoQBot: A caterpillar-inspired soft-bodied rolling robot. Bioinspiration and Biomimetics 6,2 (2011), 026007.Google ScholarCross Ref
- Liu, S.-C. and Delbruck, T. Neuromorphic sensory systems. Current Opinion in Neurobiology 20 (2010), 1--8.Google ScholarCross Ref
- Lungarella, M. and Sporns, O. Mapping information flow in sensorimotor networks. PLoS Computational Biology 2, 10 (2006), e144.Google ScholarCross Ref
- Malone, E., Berry, M. and Lipson, H. Freeform fabrication and characterization of Zn-air batteries. Rapid Prototyping Journal 14, 3 (2008), 128--140.Google ScholarCross Ref
- Manoonpong, P., Woegoetter, F. and Pasemann, F. Biological inspiration for mechanical design and control of autonomous walking robots: Towards life-like robots. Int. Journal of Applied Biomedical Engineering 3, 1 (2010), 1--12.Google Scholar
- Marques, H. et al. ECCE1: The first of a series of anthropomimetic musculoskeletal upper torsos. In Proc. of IEEE Conf. on Humanoid Robotics (2010), 391--396.Google Scholar
- Meyer, J.-A. and Guillot, A. Biologically inspired robotics. Handbook of Robotics, B. Siciliano and O. Khatib, eds. Springer-Verlag, Berlin, Heidelberg, 1395--1418, 2008.Google Scholar
- Minato, T., Yoshikawa, Y., Noda, T., Ikemoto, S., Ishiguro, H. and Asada, M. CB2: A child robot with biomimetic body for cognitive developmental robotics. In Proc. of IEEE-RAS Int. Conf. on Humanoid Robots (2007), 557--562.Google ScholarCross Ref
- Pearson, M., Pipe, A., Melhuish, C., Mitchinson, B. and Prescott, T. Whiskerbot: A robotic active touch system modeled on the rat whisker sensory system. J. of Adaptive Behavior 15, 3 (2007), 223--240. Google ScholarDigital Library
- Pfeifer, R. and Bongard, J.C. How the Body Shapes the Way We Think---A New View on Intelligence. MIT Press, Cambridge, MA, 2007. Google ScholarDigital Library
- Pfeifer, R., Lungarella, M. and Iida, F. Self-organization, embodiment, and biologically inspired robotics. Science 318 (2007), 1088--1093.Google ScholarCross Ref
- Raibert, M., Blankenspoor, K., Nelson, G., Playter, R. et al. BigDog, the rough-terrain quadruped robot. In Proc. of 17th World Congress of the Int. Fed. of Automatic Control, (2008), 10822--10825.Google Scholar
- Sodeyama, Y., Nishino, T., Namiki, Y., Nakanishi, Y., Mizuuchi, I. and Inaba, M. The designs and motions of a shoulder structure with a spherical thorax, scapulas, and collarbones for humanoid "Kojiro". In Proc. of Int. Conf. on Intelligent Robots and Systems (2008), 1465--1470.Google ScholarCross Ref
- Spenko, M.J., Haynes, G.C., Saunders, J.A., Cutkosky, M.R., Rizzi, A.A., Full, R.J. and Koditschek, D.E. Biologically inspired climbing with a hexapedal robot. Journal of Field Robotics 25, 4-5 (2008), 223--242. Google ScholarDigital Library
- Szeliski, R. Computer Vision: Algorithms and Applications. Springer Verlag, London, 2011. Google ScholarDigital Library
- Thrun, S., Burgard, W. and Fox, D. Probabilistic Robotics. MIT Press, Cambridge, MA, 2005.Google Scholar
- Umedachi, T., Takeda, K., Nakagaki, T., Kobayashi, R. and Ishiguro, A. Fully decentralized control of soft-bodied robot inspired by true slime mold. Biological Cybernetics 102, 3 (2010), 261--269. Google ScholarDigital Library
- Unver, O. and Sitti, M. Tankbot: A palm-size, tank like climbing robot on rough and smooth surfaces. Int. J. of Robotics Research 29, 14 (2010), 1761--1777. Google ScholarDigital Library
- Van Breugel, F., Regan W. and Lipson, H. From insects to machines: a passively stable, untethered flapping-hovering micro air vehicle. IEEE Robotics and Automation Magazine 15, 4 (2008), 68--74.Google ScholarCross Ref
- Webb, B., Consi, T.R. Biorobotics, MIT Press, Cambridge, MA, 2001. Google ScholarDigital Library
- Wing, J. Computational thinking. Commun. ACM 49, 3 (Mar. 2006), 33--35. Google ScholarDigital Library
- Wood, R.J. The first biologically inspired at-scale robotic insect. IEEE Trans. on Robotics 24, 2 (2008), 341--347. Google ScholarDigital Library
- Wyeth, G. and Milford, M. Spatial cognition for robots. IEEE Robotics Automation Magazine 16, 3 (2009), 24--32.Google ScholarCross Ref
- Zhou, C. and Low, K.-H. Better endurance and load capacity: An improved design of manta ray robot. J. of Bionic Engineering 7, 1 (2010), 137--144.Google ScholarCross Ref
- Ziegler, M., Hoffmann, M., Carbajah, J.P. and Pfeifer, R. Varying body stiffness for aquatic locomotion. In Proc of Int. Conf. on Robotics and Automation (2011), 2705--2712.Google ScholarCross Ref
Index Terms
- The challenges ahead for bio-inspired 'soft' robotics
Recommendations
Soft robotics: Biological inspiration, state of the art, and future research
Traditional robots have rigid underlying structures that limit their ability to interact with their environment. For example, conventional robot manipulators have rigid links and can manipulate objects using only their specialised end effectors. These ...
Comments