11
Introduction to Biologically Inspired Robotics
measured when a hand grasps a ball. If it is possible to directly understand
the intention of a person from his EEG/EMG signals, we can develop an
EEG/EMG-based closed-loop control system for prosthetic limbs so that the
artificial limbs could perform as well as the original limbs do. Similarly, by
understanding the EEG signals generated by the brain when it is thinking,
it will be possible to develop a mind-reading interface for robots to directly
read the human mind.
1.6 Conclusion
Biologically inspired robotics is an emerging and fast growing area. It is
an interdisciplinary subject that encompasses biology and engineering
areas, including mechanical, electronic, control, and computer engineering. Biologically inspired robotics covers the topics of robot design, sensors,
actuators, control systems/algorithms, etc. Tremendous research efforts are
being made in biologically inspired robotics worldwide. This book presents a collection of works on the latest developments in related topics in
this ever-growing area. The purpose is to help our readers gain insight and
understanding of the technology and principles in this area.
References
http://www.wikipedia.org/wiki/Humanoid_robot. Last modified August 7, 2011.
Arimoto, S., Kawamura, S., Miyazaki, F., and Tamaki, S. 1985. Learning control theory for dynamic systems. Proceedings of the 24th IEEE International Conference on
Decision and Control, 24(1): 1375–1380.
Arimoto, S., Naniwa, T., and Suzuki, H. 1990. Robustness of P-type learning control
with a forgetting factor for robot motions. Proceedings of the 29th IEEE Conference
on Decision and Control, Honolulu, HI, December 5–7, 1990.
Beer, R.D., 2009. Biologically inspired robotics. Scholarpedia. http://www.scholarpedia.org/article/Biologically_inspired_robotics
Brooks, R.A. 1987. A hardware retargetable distributed layered architecture for
mobile robot control. Paper read at the IEEE International Conference on
Robotics and Automation, Raleigh, NC, March 31–April 3, 1987.
Fukuda, T. and Kawauchi, Y. 1990. Cellular robotic system (CEBOT) as one of the realization of self-organizing intelligent universal manipulator. Paper read at the
IEEE International Conference on Robotics and Automation, Cincinnati, OH,
May 13–18, 1990.
Hirai, K. 1997. Current and future perpectives of Honda humanoid robot. Proceedings
of IEEE/RSJ Interntional Conference on Intelligent Robots and Systems, 2: 500–509.
Introduction to Biologically Inspired Robotics
measured when a hand grasps a ball. If it is possible to directly understand
the intention of a person from his EEG/EMG signals, we can develop an
EEG/EMG-based closed-loop control system for prosthetic limbs so that the
artificial limbs could perform as well as the original limbs do. Similarly, by
understanding the EEG signals generated by the brain when it is thinking,
it will be possible to develop a mind-reading interface for robots to directly
read the human mind.
1.6 Conclusion
Biologically inspired robotics is an emerging and fast growing area. It is
an interdisciplinary subject that encompasses biology and engineering
areas, including mechanical, electronic, control, and computer engineering. Biologically inspired robotics covers the topics of robot design, sensors,
actuators, control systems/algorithms, etc. Tremendous research efforts are
being made in biologically inspired robotics worldwide. This book presents a collection of works on the latest developments in related topics in
this ever-growing area. The purpose is to help our readers gain insight and
understanding of the technology and principles in this area.
References
http://www.wikipedia.org/wiki/Humanoid_robot. Last modified August 7, 2011.
Arimoto, S., Kawamura, S., Miyazaki, F., and Tamaki, S. 1985. Learning control theory for dynamic systems. Proceedings of the 24th IEEE International Conference on
Decision and Control, 24(1): 1375–1380.
Arimoto, S., Naniwa, T., and Suzuki, H. 1990. Robustness of P-type learning control
with a forgetting factor for robot motions. Proceedings of the 29th IEEE Conference
on Decision and Control, Honolulu, HI, December 5–7, 1990.
Beer, R.D., 2009. Biologically inspired robotics. Scholarpedia. http://www.scholarpedia.org/article/Biologically_inspired_robotics
Brooks, R.A. 1987. A hardware retargetable distributed layered architecture for
mobile robot control. Paper read at the IEEE International Conference on
Robotics and Automation, Raleigh, NC, March 31–April 3, 1987.
Fukuda, T. and Kawauchi, Y. 1990. Cellular robotic system (CEBOT) as one of the realization of self-organizing intelligent universal manipulator. Paper read at the
IEEE International Conference on Robotics and Automation, Cincinnati, OH,
May 13–18, 1990.
Hirai, K. 1997. Current and future perpectives of Honda humanoid robot. Proceedings
of IEEE/RSJ Interntional Conference on Intelligent Robots and Systems, 2: 500–509.