Karl Iagnemma

Steven Dubowsky

This monograph discusses issues related to estimation, control, and motion planning for mobile robots operating in rough terrain, with particular attention to planetary exploration rovers. Rough terrain robotics is becoming increasingly important in space exploration, and industrial applications. However, most current motion planning and control algorithms are not well suited to rough terrain mobility, since they do not consider the physical characteristics of the rover and its environment. Specific addressed topics are: wheel terrain interaction modeling, including terrain parameter estimation and wheel terrain contact angle estimation; rough terrain motion planning; articulated suspension control; and traction control. Simulation and experimental results are presented that show that the desribed algorithms lead to improved mobility for robotic systems in rough terrain.

Estimation, Motion Planning, and Control with Application to Planetary Rovers

Mobile Robots in Rough Terrain

Ming Xie

Jean-Guy Fontaine

Gurvinder S. Virk

Robotics is an exciting field in engineering and natural sciences. Robotics has already made a significant contribution to many industries with the widespread use of industrial robots for tasks such as assembly, welding, painting, and handling materials. In parallel, we have witnessed the emergence of special robots which can undertake assistive jobs, such as search and rescue, de-mining, surveillance, exploration, and security functions. Indeed, the interest in mobile machines, such as climbing and walking robots, has broadened the scope of investigation in robotics. This volume covers broad topics related to mobile machines in general, and climbing and walking robots in particular. Papers from the following keynote speakers are included: Heinz Worn (University of Karlsruhe, Germany), Atsuo Takanishi (University of Waseda, Japan), John Billingsley (University of Southern Queensland, Australia), Bryan Bridge (London South Bank University, UK) and Neville Hogan (Massachusetts Institute of Technology, USA).

Steven Dubowsky

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