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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Koepl, Devin Hurst, Jonathan |
| Copyright Year | 2011 |
| Description | Author affiliation: Oregon State Univ., USA (Koepl, Devin; Hurst, Jonathan) |
| Abstract | In this paper, we present a novel control strategy for spring-mass running gaits which is robust to disturbances, while still utilizing the passive dynamic behavior of the mechanical model for energy economy. Our strategy combines two ideas: a flight phase strategy, which commands a hip angle trajectory prior to touchdown, and a stance phase strategy, which treats the spring-mass system as a force-controlled actuator and commands forces according to an ideal model of the passive dynamics. This combined strategy is self-stable for changes in ground height or ground impedance, and thus does not require an accurate ground model. Our strategy is promising for robotics applications, because there is a clear distinction between the passive dynamic behavior and the active controller, it does not require sensing of the environment, and it is based on a sound theoretical background that is compatible with existing high-level controllers. |
| Starting Page | 3758 |
| Ending Page | 3763 |
| File Size | 2021353 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844541 |
| ISSN | 21530858 |
| e-ISBN | 9781612844565 |
| DOI | 10.1109/IROS.2011.6095001 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Force Springs Trajectory Legged locomotion Dynamics Hip |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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