Download or read book Real time Motion Planning and Safe Navigation in Dynamic Multi robot Environments written by James Robert Bruce and published by . This book was released on 2006 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: All mobile robots share the need to navigate, creating the problem of motion planning. In multi-robot domains with agents acting in parallel, highly complex and unpredictable dynamics can arise. This leads to the need for navigation calculations to be carried out within tight time constraints, so that they can be applied before the dynamics of the environment make the calculated answer obsolete. At the same time, we want the robots to navigate robustly and operate safely without collisions. While motion planning has been used for high level robot navigation, or limited to semi-static or single-robot domains, it has often been dismissed for the real-time low-level control of agents due to the limited computational time and the unpredictable dynamics. Many robots now rely on local reactive methods for immediate control of the robot, but if the reason for avoiding motion planning is execution speed, the answer is to find planners that can meet this requirement. Recent advances in traditional path planning algorithms may offer hope in resolving this type of scalability, if they can be adapted to deal with the specific problems and constraints mobile robots face. Also, in order to maintain safety, new scalable methods for maintaining collision avoidance among multiple robots are needed in order to free motion planners from the "curse of dimensionality" when considering the safety of multiple robots with realistic physical dynamics constraints. This thesis contributes the pairing of real-time motion planning which builds on existing modern path planners, and a novel cooperative dynamics safety algorithm for high speed navigation of multiple agents in dynamic domains. It also explores near real-time kinematically limited motion planning for more complex environments. The thesis algorithms have been fully implemented and tested with success on multiple real robot platforms.

Download or read book Real time Robot Motion Planning and Safe Navigation in Dynamic Multi robot Environments written by James Robert Bruce and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Autonomous Navigation in Dynamic Environments written by Christian Laugier and published by Springer. This book was released on 2007-10-14 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a foundation for a broad class of mobile robot mapping and navigation methodologies for indoor, outdoor, and exploratory missions. It addresses the challenging problem of autonomous navigation in dynamic environments, presenting new ideas and approaches in this emerging technical domain. Coverage discusses in detail various related challenging technical aspects and addresses upcoming technologies in this field.

Download or read book Motion Planning for Dynamic Agents written by Zain Anwar Ali and published by BoD – Books on Demand. This book was released on 2024-01-17 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, Motion Planning for Dynamic Agents, presents a thorough overview of current advancements and provides insights into the fascinating and vital field of aeronautics. It focuses on modern research and development, with an emphasis on dynamic agents. The chapters address a wide range of complex capabilities, including formation control, guidance and navigation, control techniques, wide-space coverage for inspection and exploration, and the best pathfinding in unknown territory. This book is a valuable resource for scholars, practitioners, and amateurs alike due to the variety of perspectives that are included, which help readers gain a sophisticated understanding of the difficulties and developments in the area of study.

Download or read book Mobile Robot Motion Control and Path Planning written by Ahmad Taher Azar and published by Springer Nature. This book was released on 2023-06-30 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Principles of Robot Motion written by Howie Choset and published by MIT Press. This book was released on 2005-05-20 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: A text that makes the mathematical underpinnings of robot motion accessible and relates low-level details of implementation to high-level algorithmic concepts. Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, rleating low-level implementation details to high-level algorithmic concepts.

Download or read book Motion Planning in Dynamic Environments written by Kikuo Fujimura and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. TOSIYASU L. KUNII To my parents Kenjiro and Nori Fujimura Preface Motion planning is an area in robotics that has received much attention recently. Much of the past research focuses on static environments - various methods have been developed and their characteristics have been well investigated. Although it is essential for autonomous intelligent robots to be able to navigate within dynamic worlds, the problem of motion planning in dynamic domains is relatively little understood compared with static problems.

Download or read book Motion Planning of Mobile Robot in Dynamic Environment Using Potential Field and Roadmap Based Planner written by Waqar Ahmad Malik and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robots are increasingly being used to perform tasks in unknown environments. The potential of robots to undertake such tasks lies in their ability to intelligently and efficiently locate and interact with objects in their environment. My research focuses on developing algorithms to plan paths for mobile robots in a partially known environment observed by an overhead camera. The environment consists of dynamic obstacles and targets. A new methodology, Extrapolated Artificial Potential Field, is proposed for real time robot path planning. An algorithm for probabilistic collision detection and avoidance is used to enhance the planner. The aim of the robot is to select avoidance maneuvers to avoid the dynamic obstacles. The navigation of a mobile robot in a real-world dynamic environment is a complex and daunting task. Consider the case of a mobile robot working in an office environment. It has to avoid the static obstacles such as desks, chairs and cupboards and it also has to consider dynamic obstacles such as humans. In the presence of dynamic obstacles, the robot has to predict the motion of the obstacles. Humans inherently have an intuitive motion prediction scheme when planning a path in a crowded environment. A technique has been developed which predicts the possible future positions of obstacles. This technique coupled with the generalized Voronoi diagram enables the robot to safely navigate in a given environment.

Download or read book Safe Robot Navigation Among Moving and Steady Obstacles written by Andrey V. Savkin and published by Butterworth-Heinemann. This book was released on 2015-09-25 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Safe Robot Navigation Among Moving and Steady Obstacles is the first book to focus on reactive navigation algorithms in unknown dynamic environments with moving and steady obstacles. The first three chapters provide introduction and background on sliding mode control theory, sensor models, and vehicle kinematics. Chapter 4 deals with the problem of optimal navigation in the presence of obstacles. Chapter 5 discusses the problem of reactively navigating. In Chapter 6, border patrolling algorithms are applied to a more general problem of reactively navigating. A method for guidance of a Dubins-like mobile robot is presented in Chapter 7. Chapter 8 introduces and studies a simple biologically-inspired strategy for navigation a Dubins-car. Chapter 9 deals with a hard scenario where the environment of operation is cluttered with obstacles that may undergo arbitrary motions, including rotations and deformations. Chapter 10 presents a novel reactive algorithm for collision free navigation of a nonholonomic robot in unknown complex dynamic environments with moving obstacles. Chapter 11 introduces and examines a novel purely reactive algorithm to navigate a planar mobile robot in densely cluttered environments with unpredictably moving and deforming obstacles. Chapter 12 considers a multiple robot scenario. For the Control and Automation Engineer, this book offers accessible and precise development of important mathematical models and results. All the presented results have mathematically rigorous proofs. On the other hand, the Engineer in Industry can benefit by the experiments with real robots such as Pioneer robots, autonomous wheelchairs and autonomous mobile hospital. First book on collision free reactive robot navigation in unknown dynamic environments Bridges the gap between mathematical model and practical algorithms Presents implementable and computationally efficient algorithms of robot navigation Includes mathematically rigorous proofs of their convergence A detailed review of existing reactive navigation algorithm for obstacle avoidance Describes fundamentals of sliding mode control

Download or read book Passivity Based Model Predictive Control for Mobile Vehicle Motion Planning written by Adnan Tahirovic and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Passivity-based Model Predictive Control for Mobile Vehicle Navigation represents a complete theoretical approach to the adoption of passivity-based model predictive control (MPC) for autonomous vehicle navigation in both indoor and outdoor environments. The brief also introduces analysis of the worst-case scenario that might occur during the task execution. Some of the questions answered in the text include: • how to use an MPC optimization framework for the mobile vehicle navigation approach; • how to guarantee safe task completion even in complex environments including obstacle avoidance and sideslip and rollover avoidance; and • what to expect in the worst-case scenario in which the roughness of the terrain leads the algorithm to generate the longest possible path to the goal. The passivity-based MPC approach provides a framework in which a wide range of complex vehicles can be accommodated to obtain a safer and more realizable tool during the path-planning stage. During task execution, the optimization step is continuously repeated to take into account new local sensor measurements. These ongoing changes make the path generated rather robust in comparison with techniques that fix the entire path prior to task execution. In addition to researchers working in MPC, engineers interested in vehicle path planning for a number of purposes: rescued mission in hazardous environments; humanitarian demining; agriculture; and even planetary exploration, will find this SpringerBrief to be instructive and helpful.

Download or read book Improving Mobile Robot Navigation with Dynamic Building Information Models and Stochastic Neural Control written by Max Kristian Ferguson and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing prevalence of automated data-capture systems and semi-autonomous robots is likely to have a positive impact on efficiency and productivity in the construction and facility management sectors. However, for automated systems to work safely and efficiently in a complex environment like a worksite, they must have access to, or be capable of generating a semantic-rich model of the environment. More specifically, these automated systems must understand what types of physical objects are near them, and where those objects are positioned in 3D space. To enable safe automation, it is essential that these systems are able to operate correctly in both static and dynamic environments. For example, a construction robot operating in a narrow hallway may have to simultaneously infer the position of static objects, such as construction site tools, and dynamic objects, like people. This dissertation proposes a set of new computational methods for extracting structured spatial knowledge about an indoor environment from unstructured sensor data. The dissertation then describes how this spatial knowledge can be leveraged to overcome several challenging scenarios in mobile robot navigation. This is achieved by training a reinforcement learning algorithm to condition mobile robot control decisions on a semantic-rich model of the environment. The dissertation first proposes a system for identifying common objects in a worksite and automatically adding them to an existing geometric model of the environment. The system is composed of two components: A novel 2D-3D object detection network designed to detect and localize worksite objects, and a multi-object Kalman filter tracking system used to filter false-positive detections. This real-time computer vision system is referred to as Object R-CNN. Object R-CNN is validated using data collected with a purpose-built mobile robot. The second contribution of the dissertation is a communication platform that allows mobile robots and human operators to share geometric information about their shared environment. The dissertation describes how a real-time semantic-rich 3D model is used as a communication medium to better facilitate human-robot and robot-robot communication. The core contribution of this work is Timeframe, a high-performance communication platform that allows multiple agents to query and manipulate a shared representation of the building state. The platform supports many data types including constructive solid geometry, polygon mesh, floor plan, pointcloud, and robot control messages. The platform also supports nonlinear coordinate frame transformations, allowing agents to communicate effectively regardless of the coordinate system they are using. Human operators can manipulate the 3D model using a web-based graphical user interface. The communication platform is used to solve a collaborative mobile robot navigation scenario. In this scenario, each mobile robot publishes pointcloud data to the communication platform. The aggregated pointcloud data is used to identify obstacles that could potentially block the mobile robot trajectories. The mobile robots are immediately notified whenever a new object is detected, allowing them to replan their trajectory. The communication platform also allows a human operator to supervise the mobile robot trajectories and the object detection process. Finally, the dissertation describes how a semantic-rich model of the built environment can be leveraged to improve the safety and efficiency of mobile robot navigation. A communication platform is developed to allow mobile robots to share spatial knowledge with human operators, automated systems, and additional mobile robots. The dissertation then introduces a new method for mobile robot control that combines reinforcement learning with traditional search-based motion planning. Each mobile robot control decision is conditioned on observations from the robot sensors as well as pointcloud data, allowing the robot to safely operate within geometrically complex environments. This approach, referred to as Stochastic Neural Control (SNC), performs exceptionally well on many challenging navigation tasks, learning good policies for navigation and collision avoidance. SNC is tested on several challenging navigation tasks and learns advanced policies for navigation, collision-avoidance and fall-prevention. Three variants of the SNC system are evaluated against a conventional motion planning baseline based on the Dynamic Window Approach (DWA). SNC outperforms the baseline and four other similar RL navigation systems in many of the trials. The SNC algorithm performs well in each of these environments, learning safe navigation behaviors, such as avoiding crowded spaces, avoiding stairs, reducing speed near walls, and operating safely in confined spaces. Finally, SNC is demonstrated for robots operating in a real environment.

Download or read book Motion Planning in Dynamic Environments written by Kikuo Fujimura and published by Springer. This book was released on 1991 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multi Robot Motion Planning with Communication written by Harmandeep Kaur Buttar and published by . This book was released on 2012 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: A successful motion planning algorithm was designed and implemented on multiple high performance KheperaIII robots. 2 KheperaIII robots finds a dynamic path from the specified source to the targeted destination avoiding collisions in an unpredictable environment processing real-time data exchanged within robots by distributed communication on a well-spaced grid where boundaries are used as landmarks ascertained by the infrared sensors. Distributed communication was implemented by implementing server and client on every robot in the system with the help of multi-threads. This algorithm hence, is successful implementation in the field of motion planning and coordination with autonomous robots. Also in this thesis, is explained the centralized and decoupled behavior of the motion planning algorithms on the multi robots. The implementation of the algorithm over KheperaIII robots aimed at representing the successfulness of this technique in practical cases, as the work in this field is still relatively new.

Download or read book Multi Robot Systems From Swarms to Intelligent Automata Volume III written by Lynne E. Parker and published by Springer Science & Business Media. This book was released on 2005-08-15 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume documents recent cutting-edge developments in multi-robot systems research. This volume is the result of the Third International workshop on Multi-Robot Systems that was held in March 2005 at the Naval Research Laboratory in Washington, D.C. This workshop brought together top researchers working in areas relevant to designing teams of autonomous vehicles, including robots and unmanned ground, air, surface, and undersea vehicles. The workshop focused on the challenging issues of team architectures, vehicle learning and adaptation, heterogeneous group control and cooperation, task selection, dynamic autonomy, mixed initiative, and human and robot team interaction. A broad range of applications of this technology are presented in this volume, including UCAVS (Unmanned Combat Air Vehicles), micro-air vehicles, UUVs (Unmanned Underwater Vehicles), UGVs (Unmanned Ground vehicles), planetary exploration, assembly in space, clean-up, and urban search and rescue. This proceedings volume represents the contributions of the top researchers in this field and serves as a valuable tool for professionals in this interdisciplinary field.

Download or read book Robot Motion Planning and Control written by Jean-Paul Laumond and published by Springer. This book was released on 1998 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Includes bibliographical references.

Download or read book Guidance Based Methods for Real Time Navigation of Mobile Robots written by Faraz Kunwar and published by LAP Lambert Academic Publishing. This book was released on 2011-01 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time motion-planning in autonomous vehicle navigation applications has typically referred to the on-line trajectory-planning problem to reach a designated location in minimal time. In this context, past research achievements have been subjected to three main limitations: (i) only the problem of interception (position matching) has been considered, whereas the problem of rendezvous (velocity matching) has not been rigorously investigated; (ii) obstacles have been commonly treated as moving with constant velocity as opposed to being highly maneuverable and following a priori unknown trajectories; and, (iii) mostly, structured indoor terrains have been considered. This book addresses the above drawbacks by proposing the use of guidance-based methods that can be used by an autonomous vehicle to accurately and safely maneuver in the presence of dynamic obstacles on realistic terrains. The objective is time-optimal rendezvous with static or dynamic targets. The proposed methods minimizes rendezvous time and energy consumption, by directly considering the dynamics of the obstacles and the target, while accurately determining a feasible way to travel through an uneven terrain.

Download or read book RoboCup 2011 Robot Soccer World Cup XV written by Thomas Roefer and published by Springer. This book was released on 2012-07-23 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the thoroughly refereed post-conference proceedings of the 15th Annual RoboCup International Symposium, held in Istanbul, Turkey, in July 2011. The 12 revised papers and 32 poster presentation presented were carefully reviewed and selected from 97 submissions. The papers are orginazed on topical sections on robot hardware and software, perception and action, robotic cognition and learning, multi-robot systems, human-robot interaction, education and edutainment and applications.