
A common approach in designing legged robots is to build fully actuated machines and control the machine dynamics entirely in soft- ware, carefully avoiding impacts and expending a lot of energy. However, these machines are outperformed by their human and animal counterparts. Animals achieve their impressive agility, efficiency, and robustness through a close integration of passive dynamics, implemented through mechanical components, and neural control. Robots can benefit from this same integrated approach, but a strong theoretical framework is required to design the passive dynamics of a machine and exploit them for control. For this framework, we use a bipedal spring–mass model, which has been shown to approximate the dynamics of human locomotion. This paper reports the first implementation of spring–mass walking on a bipedal robot. We present the use of template dynamics as a control objective exploiting the engineered passive spring–mass dynamics of the ATRIAS robot. The results highlight the benefits of combining passive dynamics with dynamics-based control and open up a library of spring–mass model-based control strategies for dynamic gait control of robots.
Author(s): | Renjewski, Daniel and Spröwitz, Alexander and Peekema, Andrew and Jones, Mikhail and Hurst, Jonathan |
Journal: | {IEEE Transactions on Robotics and Automation} |
Volume: | 31 |
Number (issue): | 5 |
Pages: | 1244--1251 |
Year: | 2015 |
Publisher: | IEEE |
Bibtex Type: | Article (article) |
DOI: | 10.1109/TRO.2015.2473456 |
State: | Published |
URL: | http://ieeexplore.ieee.org/abstract/document/7270326/ |
Address: | New York, NY |
Electronic Archiving: | grant_archive |
ISBN: | ISSN: 1552-3098 |
BibTex
@article{escidoc:2310483, title = {Exciting Engineered Passive Dynamics in a Bipedal Robot}, journal = {{IEEE Transactions on Robotics and Automation}}, abstract = {A common approach in designing legged robots is to build fully actuated machines and control the machine dynamics entirely in soft- ware, carefully avoiding impacts and expending a lot of energy. However, these machines are outperformed by their human and animal counterparts. Animals achieve their impressive agility, efficiency, and robustness through a close integration of passive dynamics, implemented through mechanical components, and neural control. Robots can benefit from this same integrated approach, but a strong theoretical framework is required to design the passive dynamics of a machine and exploit them for control. For this framework, we use a bipedal spring–mass model, which has been shown to approximate the dynamics of human locomotion. This paper reports the first implementation of spring–mass walking on a bipedal robot. We present the use of template dynamics as a control objective exploiting the engineered passive spring–mass dynamics of the ATRIAS robot. The results highlight the benefits of combining passive dynamics with dynamics-based control and open up a library of spring–mass model-based control strategies for dynamic gait control of robots.}, volume = {31}, number = {5}, pages = {1244--1251}, publisher = {IEEE}, address = {New York, NY}, year = {2015}, slug = {escidoc-2310483}, author = {Renjewski, Daniel and Spr{\"o}witz, Alexander and Peekema, Andrew and Jones, Mikhail and Hurst, Jonathan}, url = {http://ieeexplore.ieee.org/abstract/document/7270326/} }