Numerical Modelling in Robotics

Numerical Modelling in RoboticsModern robotic systems are tided to operate autonomously in real world environments performing a variety of complex tasks. Autonomous robots must rely on fundamental capabilities such as locomotion, trajectory tracking control, multi sensor fusion, task path planning. Combining this knowledge is essential to design rolling, walking, aquatic, and hovering robots that sense and self control. This book contains a mathematical modelling framework to

Modern robotic systems are tided to operate autonomously in real-world environments performing a variety of complex tasks. Autonomous robots must rely on fundamental capabilities such as locomotion, trajectory tracking control, multi-sensor fusion, task/path planning. Combining this knowledge is essential to design rolling, walking, aquatic, and hovering robots that sense and self-control.

This book contains a mathematical modelling framework to support the learning of modern robotics and mechatronics, aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. The volume exposes a solid understanding of mathematical methods as a common modelling framework to properly interpret advanced robotic systems. Include numerical approximations, linear and non-linear systems of equations, curves fitting, differentiation and integration. It is suitable for courses on robotics, mechatronics, sensing models, vehicles design and control, modelling and mechanisms analysis.