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Industrial Robotics: Technology, Programming, and Applications by Mikell P. Groover

Industrial Robotics: Technology, Programming, and Applications by Mikell P. Groover

This book is a comprehensive introduction to the field of industrial robotics, covering topics such as robot technology, programming, and applications. The book provides an overview of the history, classification, components, and functions of industrial robots, as well as the methods and tools for designing, selecting, and implementing them in various industries. The book also explains the principles and techniques of robot programming, including motion planning, trajectory generation, sensor-based control, and vision systems. The book also explores the current and future trends of industrial robotics, such as collaborative robots, mobile robots, and artificial intelligence.

Industrial robotics by mikell p.groover pdf

The book is intended for undergraduate and graduate students of engineering and technology, as well as professionals and researchers in the field of robotics. The book is written in a clear and concise style, with numerous examples, figures, tables, and exercises to enhance the understanding of the concepts and applications. The book also includes a CD-ROM that contains software tools for robot simulation and programming.

The book is based on the author's extensive experience in teaching and research in robotics. The author is Mikell P. Groover, a professor of industrial and systems engineering at Lehigh University. He is also the author of several other books on manufacturing processes, automation, and production systems.The book is divided into four parts: Part I: Introduction to Robotics, Part II: Robot Technology, Part III: Robot Programming and Control, and Part IV: Applications of Industrial Robotics. The following is a brief summary of each part and its chapters.

Part I: Introduction to Robotics

This part provides an overview of the field of robotics, its history, classification, benefits, and challenges. It also introduces some basic concepts and terminology related to robotics.

  • Chapter 1: Introduction. This chapter defines robotics and its scope, discusses the evolution and current status of robotics, and identifies the main components and functions of a robot system.

  • Chapter 2: Classification and Structure of Robots. This chapter classifies robots based on their configuration, motion type, control method, application area, and intelligence level. It also describes the structure and kinematics of robot manipulators.

  • Chapter 3: Economic and Social Issues in Robotics. This chapter examines the economic and social impacts of robotics on industry, society, and environment. It also discusses some ethical and legal issues related to robotics.

Part II: Robot Technology

This part covers the technical aspects of robot design, operation, and performance. It explains the principles and components of robot drive systems, sensors, actuators, end-effectors, and power sources.

  • Chapter 4: Actuators for Robot Mechanisms. This chapter describes the types and characteristics of actuators used in robot mechanisms, such as electric motors, hydraulic cylinders, pneumatic cylinders, and piezoelectric actuators.

  • Chapter 5: Sensors for Robots. This chapter explains the role and types of sensors used in robots, such as position sensors, velocity sensors, force sensors, tactile sensors, proximity sensors, and vision sensors.

  • Chapter 6: End-Effectors for Robots. This chapter discusses the design and selection of end-effectors for robots, such as grippers, tools, and fixtures.

  • Chapter 7: Power Sources for Robots. This chapter reviews the options and requirements for power sources for robots, such as batteries, fuel cells, solar cells, and wireless power transmission.

Part III: Robot Programming and Control

This part focuses on the methods and techniques for programming and controlling robot motions and actions. It covers topics such as motion planning, trajectory generation, sensor-based control, vision systems, artificial intelligence, and learning.

  • Chapter 8: Motion Planning for Robots. This chapter introduces the concepts and algorithms for planning the motion of robot manipulators in a given workspace. It covers topics such as inverse kinematics, obstacle avoidance, collision detection, and optimization.

  • Chapter 9: Trajectory Generation for Robots. This chapter explains how to generate smooth and feasible trajectories for robot motions based on desired position, velocity, acceleration, and jerk profiles. It covers topics such as interpolation methods, spline methods, polynomial methods,

  • and optimal methods.

  • Chapter 10: Sensor-Based Control for Robots. This chapter describes how to use feedback from sensors to control robot motions and actions in uncertain or dynamic environments. It covers topics such as servo control,

  • adaptive control,

  • robust control,

  • fuzzy control,

  • and neural network control.

  • Chapter 11: Vision Systems for Robots. This chapter presents the principles and applications of vision systems for robots. It covers topics such as image acquisition,

  • processing,

  • analysis,

  • and recognition,

  • as well as object detection,

  • tracking,

  • and manipulation.

  • Chapter 12: Artificial Intelligence for Robots. This chapter explores the use of artificial intelligence techniques to enhance the capabilities and performance of robots. It covers topics such as knowledge representation,

  • reasoning,

  • planning,

  • natural language processing,

  • and expert systems.

  • Chapter 13: Learning in Robotics. This chapter discusses the methods and challenges of learning in robotics. It covers topics such as supervised learning,

  • unsupervised learning,

  • reinforcement learning,

  • and evolutionary learning.

Part IV: Applications of Industrial Robotics 29c81ba772

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