001470245 000__ 05829cam\\22006137i\4500 001470245 001__ 1470245 001470245 003__ OCoLC 001470245 005__ 20230803003409.0 001470245 006__ m\\\\\o\\d\\\\\\\\ 001470245 007__ cr\cn\nnnunnun 001470245 008__ 230712s2023\\\\sz\a\\\\o\\\\\000\0\eng\d 001470245 019__ $$a1389340675$$a1389610245 001470245 020__ $$a9783031265648$$q(electronic bk.) 001470245 020__ $$a3031265645$$q(electronic bk.) 001470245 020__ $$z3031265637 001470245 020__ $$z9783031265631 001470245 0247_ $$a10.1007/978-3-031-26564-8$$2doi 001470245 035__ $$aSP(OCoLC)1390151726 001470245 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX 001470245 049__ $$aISEA 001470245 050_4 $$aTJ211.415 001470245 08204 $$a629.8/932$$223/eng/20230712 001470245 24500 $$aMobile robot :$$bmotion control and path planning /$$cAhmad Taher Azar, Ibraheem Kasim Ibraheem, Amjad Jaleel Humaidi, editors. 001470245 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023. 001470245 300__ $$a1 online resource (590 pages) :$$billustrations (black and white). 001470245 336__ $$atext$$btxt$$2rdacontent 001470245 337__ $$acomputer$$bc$$2rdamedia 001470245 338__ $$aonline resource$$bcr$$2rdacarrier 001470245 4901_ $$aStudies in computational intelligence ;$$vvolume 1090 001470245 5050_ $$aLeader-Follower Formation Control of Mobile Robots Based on Simplified Super-Twisting Algorithm -- Deep Reinforcement Learning Applied to Multiagent Path Planning for Information Gathering in Environmental Missions -- Analysis of Computer Vision-Based Techniques for the Recognition of Landing Platforms for UAVs -- Monitoring Peak Pollution Points of Water Resources with Autonomous Surface Vehicles using a PSO-based Informative Path Planner -- Robots in Medicine: Mobile Robots Versus Mobile Decision, Necessity Versus Possibility and Future Challenges -- Event-based Robust Control Techniques for Wheel-Based Robots Under Cyber-attack and Dynamic Quantizer -- Path Optimization and Multi-Level Path Planning for The Steam Field Navigation Algorithm -- Modeling and Simulation of Quadcopter using Self-Tuning Fuzzy-PI Controller -- Using an Interactive Theorem Prover for Formally Analyzing the Dynamics of the Unmanned Aerial Vehicles -- Adaptive Fault-Tolerant Control Design for Multi-Linked Two-Wheel Drive Mobile Robots -- Design and Implementation of a Robust 6-DOF Quadrotor Controller Based on Kalman Filter for Position Control -- Wireless Sensor Network Based Mobile Robot Applications -- Fault Diagnosis and Fault Tolerant Control for linked Two Wheel Drive Mobile Robots -- Fractional Order Extended State Observer Enhances the Performance of Controlled Tri-copter UAV Based on Active Disturbance Rejection Control -- Robust Adaptive Sliding Mode Controllers Design for a Non-holonomic Mobile Robot. 001470245 506__ $$aAccess limited to authorized users. 001470245 520__ $$aThis 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., humanrobot 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. 001470245 588__ $$aDescription based on print version record. 001470245 650_0 $$aMobile robots$$xAutomatic control. 001470245 655_0 $$aElectronic books. 001470245 7001_ $$aAzar, Ahmad Taher,$$eeditor. 001470245 7001_ $$aKasim Ibraheem, Ibraheem,$$eeditor. 001470245 7001_ $$aJaleel Humaidi, Amjad,$$eeditor. 001470245 77608 $$iPrint version:$$tMOBILE ROBOT.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031265637$$w(OCoLC)1365044994 001470245 830_0 $$aStudies in computational intelligence ;$$vv. 1090. 001470245 852__ $$bebk 001470245 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-26564-8$$zOnline Access$$91397441.1 001470245 909CO $$ooai:library.usi.edu:1470245$$pGLOBAL_SET 001470245 980__ $$aBIB 001470245 980__ $$aEBOOK 001470245 982__ $$aEbook 001470245 983__ $$aOnline 001470245 994__ $$a92$$bISE