DocumentCode
3601811
Title
MSU Tailbot: Controlling Aerial Maneuver of a Miniature-Tailed Jumping Robot
Author
Jianguo Zhao ; Tianyu Zhao ; Ning Xi ; Mutka, Matt W. ; Li Xiao
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Volume
20
Issue
6
fYear
2015
Firstpage
2903
Lastpage
2914
Abstract
Inspired by the aerial maneuvering ability of lizards, we present the design and control of MSU (Michigan State University) tailbot - a miniature-tailed jumping robot. The robot can not only wheel on the ground, but also jump up to overcome obstacles. Moreover, once leaping into the air, it can control its body angle using an active tail to dynamically maneuver in midair for safe landings. We derive the midair dynamics equation and design controllers, such as a sliding mode controller, to stabilize the body at desired angles. To the best of our knowledge, this is the first miniature (maximum size 7.5 cm) and lightweight (26.5 g) robot that can wheel on the ground, jump to overcome obstacles, and maneuver in midair. Furthermore, tailbot is equipped with on-board energy, sensing, control, and wireless communication capabilities, enabling tetherless or autonomous operations. The robot in this paper exemplifies the integration of mechanical design, embedded system, and advanced control methods that will inspire the next-generation agile robots mimicking their biological counterparts. Moreover, it can serve as mobile sensor platforms for wireless sensor networks with many field applications.
Keywords
mobile robots; wireless sensor networks; MSU tailbot; Michigan State University tailbot; advanced control methods; aerial maneuver control; autonomous operations; design controllers; embedded system; mechanical design; midair dynamics equation; miniature-tailed jumping robot; mobile sensor platforms; next-generation agile robots; on-board energy; sliding mode controller; tetherless operations; wireless communication capabilities; wireless sensor networks; DC motors; Gears; Joints; Mobile robots; Optimization; Robot sensing systems; Aerial maneuvering; biologically inspired robot; jumping robot; microrobotics; multimodal locomotion; sliding mode control;
fLanguage
English
Journal_Title
Mechatronics, IEEE/ASME Transactions on
Publisher
ieee
ISSN
1083-4435
Type
jour
DOI
10.1109/TMECH.2015.2411513
Filename
7081773
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