Name: Mobile Robot: Motion Control and Path Planning
Price: 212.49 USD
Availability: InStock
Author: Ahmad Taher Azar;Ibraheem Kasim Ibraheem;Amjad Jaleel Humaidi
ISBN: 9783031265662

portada Mobile Robot: Motion Control and Path Planning

Mobile Robot: Motion Control and Path Planning

Formato

Libro Físico

Editorial

Springer International Publishing AG

Autor

Ahmad Taher Azar;Ibraheem Kasim Ibraheem;Amjad Jaleel Humaidi

Colección

Studies in Computational Intelligence

Año

2024

N° páginas

670

Encuadernación

Tapa Blanda

Dimensiones

23.50 x 15.50 cm

ISBN13

9783031265662

Mobile Robot: Motion Control and Path Planning

Ahmad Taher Azar;Ibraheem Kasim Ibraheem;Amjad Jaleel Humaidi (Autor) · Springer International Publishing AG · Tapa Blanda

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Reseña del libro "Mobile Robot: Motion Control and Path Planning"

This book presents the recent research advances in linear and nonlinear control techniques. From both a theoretical and practical standpoint, motion planning and related control challenges are key parts of robotics. Indeed, the literature on the planning of geometric paths and the generation of time-based trajectories, while accounting for the compatibility of such paths and trajectories with the kinematic and dynamic constraints of a manipulator or a mobile vehicle, is extensive and rich in historical references. Path planning is vital and critical for many different types of robotics, including autonomous vehicles, multiple robots, and robot arms. In the case of multiple robot route planning, it is critical to produce a safe path that avoids colliding with objects or other robots. When designing a safe path for an aerial or underwater robot, the 3D environment must be considered. As the number of degrees of freedom on a robot arm increases, so does the difficulty of path planning.As a result, safe pathways for high-dimensional systems must be developed in a timely manner. Nonetheless, modern robotic applications, particularly those requiring one or more robots to operate in a dynamic environment (e.g., human–robot collaboration and physical interaction, surveillance, or exploration of unknown spaces with mobile agents, etc.), pose new and exciting challenges to researchers and practitioners. For instance, planning a robot's motion in a dynamic environment necessitates the real-time and online execution of difficult computational operations. The development of efficient solutions for such real-time computations, which could be offered by specially designed computational architectures, optimized algorithms, and other unique contributions, is thus a critical step in the advancement of present and future-oriented robotics.