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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qiang Huang Nakamura, Y. Inamura, T. |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Mechatronics, Beijing Inst. of Technol., China (Qiang Huang) |
| Abstract | Since a biped humanoid inherently suffers from instability and always risks tipping over, ensuring high stability and reliability of walking is one of the most important goals. The paper proposes a walk control consisting of a feedforward dynamic pattern and a feedback sensory reflex. The dynamic pattern is a rhythmic and periodic motion, which satisfies the constraints of dynamic stability and ground conditions, and is generated assuming that the models of the humanoid and the environment are known. The sensory reflex is a simple, but rapid motion programmed with respect to sensory information. The sensory reflex, we propose, consists of the body posture control, the actual ZMP (zero moment point) control, and the landing time control. With the dynamic pattern and the sensory reflex, it is possible for the humanoid to walk rhythmically and to adapt itself to environmental uncertainties. The effectiveness of our proposed method was confirmed by walk experiments of an actual 26 DOF humanoid on an unknown rough terrain and in the presence of disturbances. |
| Sponsorship | IEEE Robotics & Autom. Soc |
| Starting Page | 4220 |
| Ending Page | 4225 |
| File Size | 716463 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780365763 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2001.933277 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-05-21 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feedback Reflection Humans Biological system modeling Humanoid robots Legged locomotion Mechatronics Stability Uncertainty Aging |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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