5 May 2017 Kinematic modeling of a RHex-type robot using a neural network
Author Affiliations +
Abstract
Motion planning for legged machines such as RHex-type robots is far less developed than motion planning for wheeled vehicles. One of the main reasons for this is the lack of kinematic and dynamic models for such platforms. Physics based models are difficult to develop for legged robots due to the difficulty of modeling the robot-terrain interaction and their overall complexity. This paper presents a data driven approach in developing a kinematic model for the X-RHex Lite (XRL) platform. The methodology utilizes a feed-forward neural network to relate gait parameters to vehicle velocities.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mario Harper, Mario Harper, James Pace, James Pace, Nikhil Gupta, Nikhil Gupta, Camilo Ordonez, Camilo Ordonez, Emmanuel G. Collins, Emmanuel G. Collins, } "Kinematic modeling of a RHex-type robot using a neural network", Proc. SPIE 10195, Unmanned Systems Technology XIX, 1019507 (5 May 2017); doi: 10.1117/12.2262894; https://doi.org/10.1117/12.2262894
PROCEEDINGS
9 PAGES + PRESENTATION

SHARE
Back to Top