Abstract
The realization and utilization of multimodal locomotion to enable robots to accomplish useful tasks is a significantly challenging problem in robotics. Related to the challenge, it is crucial to notice that the locomotion dynamics of the robots is a result of interactions between a particular control structure and its body-environment dynamics. From this perspective, this paper presents a simple control structure known as Attractor Selection Mechanism that enables a robot to self organize its multiple locomotion modes for accomplishing a goal-directed locomotion task. Despite the simplicity, the approach enables the robot to automatically explore different body-environment dynamics and stabilize onto particular attractors which corresponds to locomotion modes relevant to accomplish the task. The robot used throughout the paper is a curved-beam hopping robot, which despite its simple actuation method, possesses rich and complex body-environment dynamics.
| Original language | English |
|---|---|
| Title of host publication | Proceeding of the 2015 IEEE International Conference on Robotics and Automation (ICRA 2015) |
| Editors | Allison Okamura |
| Place of Publication | New Jersey USA |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 5061 - 5066 |
| Number of pages | 6 |
| ISBN (Print) | 9781479969241 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | IEEE International Conference on Robotics and Automation 2015 - Seattle, United States of America Duration: 26 May 2015 → 30 May 2015 http://ewh.ieee.org/soc/ras/conf/FullySponsored/ICRA/2015/icra2015.org/index.html https://ieeexplore.ieee.org/xpl/conhome/7128761/proceeding (Proceedings) |
Conference
| Conference | IEEE International Conference on Robotics and Automation 2015 |
|---|---|
| Abbreviated title | ICRA 2015 |
| Country/Territory | United States of America |
| City | Seattle |
| Period | 26/05/15 → 30/05/15 |
| Internet address |
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