Abstract
This article presents the design and analysis of a controller based on a biologically inspired central pattern generator (CPG) network of mutually coupled Matsuoka nonlinear oscillators to generate adaptive rhythmic human like movement for biped robots.. The paper focuses on the way in which the sensory signals feedback contribute to generate dynamic, stable and sustained rhythmic movements with robust gaits for biped robots. In addition, the paper shows how the driving input and external perturbation affect the speed of locomotion and change the period of its own active phase. The new design was studied through interaction between simulated interconnection coupling dynamics with 6 links and a musculoskeletal model with 6 degrees of freedom (DOFs) of a biped robot. The robot used the weighted outputs of mutually inhibited oscillators as torques to actuate its joints. The implemented model helps to realize the interaction between the controller, the mechanism of the robot, and the environment. In addition, it helps to study the necessary conditions for efficient generation of stable rhythmic walking at different speed, on different type of terrains and robustness in response to disturbances. Evaluations of the developed CPG based adaptive bipedal locomotion are carried out through simulations with successful testing results.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Symposium on Industrial Electronics |
| Pages | 1452-1457 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009 - Seoul, Korea, Republic of Duration: Jul 5 2009 → Jul 8 2009 |
Other
| Other | IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 7/5/09 → 7/8/09 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
Cite this
Biped locomotion using CPG with sensory interaction. / Habib, Maki K.; Watanabe, Keigo; Izumi, Kiyotaka.
IEEE International Symposium on Industrial Electronics. 2009. p. 1452-1457 5219063.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Biped locomotion using CPG with sensory interaction
AU - Habib, Maki K.
AU - Watanabe, Keigo
AU - Izumi, Kiyotaka
PY - 2009
Y1 - 2009
N2 - This article presents the design and analysis of a controller based on a biologically inspired central pattern generator (CPG) network of mutually coupled Matsuoka nonlinear oscillators to generate adaptive rhythmic human like movement for biped robots.. The paper focuses on the way in which the sensory signals feedback contribute to generate dynamic, stable and sustained rhythmic movements with robust gaits for biped robots. In addition, the paper shows how the driving input and external perturbation affect the speed of locomotion and change the period of its own active phase. The new design was studied through interaction between simulated interconnection coupling dynamics with 6 links and a musculoskeletal model with 6 degrees of freedom (DOFs) of a biped robot. The robot used the weighted outputs of mutually inhibited oscillators as torques to actuate its joints. The implemented model helps to realize the interaction between the controller, the mechanism of the robot, and the environment. In addition, it helps to study the necessary conditions for efficient generation of stable rhythmic walking at different speed, on different type of terrains and robustness in response to disturbances. Evaluations of the developed CPG based adaptive bipedal locomotion are carried out through simulations with successful testing results.
AB - This article presents the design and analysis of a controller based on a biologically inspired central pattern generator (CPG) network of mutually coupled Matsuoka nonlinear oscillators to generate adaptive rhythmic human like movement for biped robots.. The paper focuses on the way in which the sensory signals feedback contribute to generate dynamic, stable and sustained rhythmic movements with robust gaits for biped robots. In addition, the paper shows how the driving input and external perturbation affect the speed of locomotion and change the period of its own active phase. The new design was studied through interaction between simulated interconnection coupling dynamics with 6 links and a musculoskeletal model with 6 degrees of freedom (DOFs) of a biped robot. The robot used the weighted outputs of mutually inhibited oscillators as torques to actuate its joints. The implemented model helps to realize the interaction between the controller, the mechanism of the robot, and the environment. In addition, it helps to study the necessary conditions for efficient generation of stable rhythmic walking at different speed, on different type of terrains and robustness in response to disturbances. Evaluations of the developed CPG based adaptive bipedal locomotion are carried out through simulations with successful testing results.
UR - http://www.scopus.com/inward/record.url?scp=77950143169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950143169&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2009.5219063
DO - 10.1109/ISIE.2009.5219063
M3 - Conference contribution
AN - SCOPUS:77950143169
SN - 9781424443499
SP - 1452
EP - 1457
BT - IEEE International Symposium on Industrial Electronics
ER -