technology & engineering > robotics
Robotics, Vision and Control: Fundamental Algorithms in Matlab(r)
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From the Back Cover
This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a cohesive narrative. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code.
Peter Corke is a robotics educator and researcher. He is known for his work in vision-based control and field robotics, as well as open-source robotics software and educational resources such as the QUT Robot Academy. He is a distinguished professor at the Queensland University of Technology, technical advisor to several robotics companies, and has been a consultant to MathWorks. He was the Australian University Teacher of the Year in 2017 and is a fellow of the IEEE, the Australian Academy of Technology and Engineering, and the Australian Academy of Science. He received his PhD from the University of Melbourne.
Witold Jachimczyk manages the computer vision and automated driving development teams at MathWorks. He worked on the Image Processing Toolbox((TM)) prior to leading the development of Computer Vision Toolbox((TM)) and Automated Driving Toolbox((TM)). Before MathWorks, he worked at Data Translation developing machine vision software and at Polaroid on embedded systems. Witold holds a B.S. and an M.S. in electrical engineering from Worcester Polytechnic Institute.Remo Pillat is the MathWorks development manager for the robotics and autonomous systems team, which focuses on providing a set of robust algorithms and simulation tools for autonomous ground vehicles, robot manipulators, and UAVs. Prior to joining MathWorks, Remo's research at the University of Central Florida (UCF) focused on multisensor fusion, state estimation, and environment modeling for autonomous ground vehicles. He was the chief software engineer for UCF's self-driving car and responsible for vehicle control as well as real-time obstacle detection and tracking.
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