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
Link To Document :
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