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Geometric Algebra Applications Vol. II - Robot Modelling and Control (Hardcover, 1st ed. 2020)
Loot Price: R5,070
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Geometric Algebra Applications Vol. II - Robot Modelling and Control (Hardcover, 1st ed. 2020)
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This book presents a unified mathematical treatment of diverse
problems in the general domain of robotics and associated fields
using Clifford or geometric alge- bra. By addressing a wide
spectrum of problems in a common language, it offers both fresh
insights and new solutions that are useful to scientists and
engineers working in areas related with robotics. It introduces
non-specialists to Clifford and geometric algebra, and provides ex-
amples to help readers learn how to compute using geometric
entities and geomet- ric formulations. It also includes an in-depth
study of applications of Lie group theory, Lie algebra, spinors and
versors and the algebra of incidence using the universal geometric
algebra generated by reciprocal null cones. Featuring a detailed
study of kinematics, differential kinematics and dynamics using
geometric algebra, the book also develops Euler Lagrange and
Hamiltoni- ans equations for dynamics using conformal geometric
algebra, and the recursive Newton-Euler using screw theory in the
motor algebra framework. Further, it comprehensively explores robot
modeling and nonlinear controllers, and discusses several
applications in computer vision, graphics, neurocomputing, quantum
com- puting, robotics and control engineering using the geometric
algebra framework. The book also includes over 200 exercises and
tips for the development of future computer software packages for
extensive calculations in geometric algebra, and a entire section
focusing on how to write the subroutines in C++, Matlab and Maple
to carry out efficient geometric computations in the geometric
algebra framework. Lastly, it shows how program code can be
optimized for real-time computations. An essential resource for
applied physicists, computer scientists, AI researchers,
roboticists and mechanical and electrical engineers, the book
clarifies and demon- strates the importance of geometric computing
for building autonomous systems to advance cognitive systems
research.
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