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Analysis and compensation of kinetic friction in robotic and mechatronic control systems
\"Analysis and Compensation of Kinetic Friction in Robotic and Mechatronic Control Systems comprehensively covers the theory behind kinetic friction, as well as compensation methods and practical solutions, and serves as a key companion to studying different control systems. Beginning with a clear introduction to the subject, the book goes on to include three main facets of kinetic friction, starting with phenomena of kinetic friction in drives. Following on from this, the book examines motion dynamics with friction, which introduces dynamic system equations and focuses on both energy balance and dissipation. Finally, it explains compensation of friction in motion control, which summarises key compensation methods in controlled mechanical systems. Introducing various basic feedback control methods, including observer-based methods to compensate for kinetic friction, the book provides practical information which can be used in a wide variety of contexts not specific to particular systems or applications. The book will be of interest to students and industry workers in the field of robotics, mechanical systems and control engineering\"-- Provided by publisher.
BOOK
Modeling, identification & control of robots
Written by two of Europe's leading robotics experts, this book provides the tools for a unified approach to the modelling of robotic manipulators, whatever their mechanical structure.No other publication covers the three fundamental issues of robotics: modelling, identification and control.
eBook
Design and Implementation of a Shape Shifting Rolling–Crawling–Wall-Climbing Robot
Designing an urban reconnaissance robot is highly challenging work given the nature of the terrain in which these robots are required to operate. In this work, we attempt to extend the locomotion capabilities of these robots beyond what is currently feasible. The design and unique features of our bio-inspired reconfigurable robot, called Scorpio, with rolling, crawling, and wall-climbing locomotion abilities are presented in this paper. The design of the Scorpio platform is inspired by Cebrennus rechenbergi, a rare spider species that has rolling, crawling and wall-climbing locomotion attributes. This work also presents the kinematic and dynamic model of Scorpio. The mechanical design and system architecture are introduced in detail, followed by a detailed description on the locomotion modes. The conducted experiments validated the proposed approach and the ability of the Scorpio platform to synthesise crawling, rolling and wall-climbing behaviours. Future work is envisioned for using these robots as active, unattended, mobile ground sensors in urban reconnaissance missions. The accompanying video demonstrates the shape shifting locomotion capabilities of the Scorpio robot.
Journal Article
A Velocity-Based Dynamic Model and Its Properties for Differential Drive Mobile Robots
An important issue in the field of motion control of wheeled mobile robots is that the design of most controllers is based only on the robot’s kinematics. However, when high-speed movements and/or heavy load transportation are required, it becomes essential to consider the robot dynamics as well. The control signals generated by most dynamic controllers reported in the literature are torques or voltages for the robot motors, while commercial robots usually accept velocity commands. In this context, we present a velocity-based dynamic model for differential drive mobile robots that also includes the dynamics of the robot actuators. Such model has linear and angular velocities as inputs and has been included in Peter Corke’s Robotics Toolbox for MATLAB, therefore it can be easily integrated into simulation systems that have been built for the unicycle kinematics. We demonstrate that the proposed dynamic model has useful mathematical properties. We also present an application of such model on the design of an adaptive dynamic controller and the stability analysis of the complete system, while applying the proposed model properties. Finally, we show some simulation and experimental results and discuss the advantages and limitations of the proposed model.
Journal Article
Industrial robot arm dynamic modeling simulation and variable-gain iterative learning control strategy design
Aiming at the difficulty of dynamic modeling of a hybrid robotic arm, a dynamic model system of industrial robotic arm based on Simscape Multibody was established with the MG400 robotic arm as the research object, which combines the motion control and data acquisition modules. The model is dynamically visualized and provides a convenient platform for studying the control algorithm of the robot arm. In response to the issues of sluggish speed and substantial position error in robot trajectory tracking control of a traditional controller, a variable gain iterative learning control methodology was designed. The robot arm control system model was employed to corroborate the trajectory tracking control under the stipulated target trajectory. The empirical outcomes indicate that in comparison to the traditional controller and the fixed-gain iterative learning controller, the variable-gain iterative learning controller can regulate the robot end trajectory more precisely, with swift tracking speed and accurate tracking posture, demonstrating commendable feasibility and portability. It offers an open-source research and development platform for the dynamic modeling of robot arm and a potent solution for the control strategy of robot arm.
Journal Article
Review of Autonomous Path Planning Algorithms for Mobile Robots
Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles, play an increasingly important role in people’s work and lives. Path planning and obstacle avoidance are the core technologies for achieving autonomy in mobile robots, and they will determine the application prospects of mobile robots. This paper introduces path planning and obstacle avoidance methods for mobile robots to provide a reference for researchers in this field. In addition, it comprehensively summarizes the recent progress and breakthroughs of mobile robots in the field of path planning and discusses future directions worthy of research in this field. We focus on the path planning algorithm of a mobile robot. We divide the path planning methods of mobile robots into the following categories: graph-based search, heuristic intelligence, local obstacle avoidance, artificial intelligence, sampling-based, planner-based, constraint problem satisfaction-based, and other algorithms. In addition, we review a path planning algorithm for multi-robot systems and different robots. We describe the basic principles of each method and highlight the most relevant studies. We also provide an in-depth discussion and comparison of path planning algorithms. Finally, we propose potential research directions in this field that are worth studying in the future.
Journal Article
Design, Control, and Motion Strategy of TRADY: Tilted‐Rotor‐Equipped Aerial Robot With Autonomous In‐Flight Assembly and Disassembly Ability
Aerial Robot with the Ability to Assemble in Mid‐Air In article 2300191, Junichiro Sugihara, Moju Zhao, and co‐workers introduce TRADY, an innovative aerial robot. TRADY can autonomously assemble/disassemble mid‐air, enhancing control and torque. The prototype boasts a 90% success rate in the assembly motion, delivering nine times the torque of a single unit when assembled.
Journal Article
Dynamics and Control of Robotic Manipulators with Contact and Friction
A comprehensive guide to the friction, contact and impact on robot control and force feedback mechanism
Dynamics and Control of Robotic Manipulators with Contact and Friction offers an authoritative guide to the basic principles of robot dynamics and control with a focus on contact and friction. The authors discuss problems in interaction between human and real or virtual robot where dynamics with friction and contact are relevant. The book fills a void in the literature with a need for a text that considers the contact and friction generated in robot joints during their movements.
Designed as a practical resource, the text provides the information needed for task planning in view of contact, impact and friction for the designer of a robot control system for high accuracy and long durability. The authors include a review of the most up-to-date advancements in robot dynamics and control. It contains a comprehensive resource to the effective design and fabrication of robot systems and components for engineering and scientific purposes. This important guide:
* Offers a comprehensive reference with systematic treatment and a unified framework
* Includes simulation and experiments used in dynamics and control of robot considering contact, impact and friction
* Discusses the most current tribology methodology used to treat the multiple–scale effects
* Contains valuable descriptions of experiments and software used
* Presents illustrative accounts on the methods employed to handle friction in the closed loop, including the principles, implementation, application scope, merits and demerits
* Offers a cohesive treatment that covers tribology and multi-scales, multi-physics and nonlinear stochastic dynamics control
Written for graduate students of robotics, mechatronics, mechanical engineering, tracking control and practicing professionals and industrial researchers, Dynamics and Control of Robotic Manipulators with Contact and Friction offers a review to effective design and fabrication of stable and durable robot system and components.
eBook
MSD: Learning general and agile locomotion using multi-skill distillation
Legged robots are particularly well-suited for navigating terrains that are inaccessible to wheeled robots, which has led to a significant increase in their applications in recent years. However, many existing control approaches still struggle to achieve generalization in diverse and unstructured environments. In this work, we introduce the MSD training framework for general and agile locomotion of legged robots through a multi-skill distillation approach. First, expert policies are trained for different terrains. Then, using the DAgger algorithm, these expert skills are distilled into a single deployable policy. The proposed policy integrates depth images as exteroceptive observations, enabling agile navigation across diverse and unstructured terrains. Finally, deployment on the MagicDog-W robot validates the policy’s capability to achieve robust and flexible locomotion in challenging environments.
Journal Article