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Optimal Path and Trajectory Planning for Serial Robots

Alexander Reiter describes optimal path and trajectory planning for serial robots in general, and rigorously treats the challenging;

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Path Planning of Cooperative Mobile Robots Using Discrete Event Models

Offers an integrated presentation for path planning and motion control of cooperative mobile robots using discrete-event system principles;

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Robot Manipulators

and local tools for performance analysis of serial robots.*Chapter 4 presents an original optimization technique for point-to-point trajectory;

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Study of ROBO-SOCCER with the help of MATLAB and MICROCONTROLLER

and the position of the robot and balls are transmitted to the robot via a wireless transmitter connected to the serial port of the host;

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Path Planning Algorithms for Mobile Robots

for this purpose. This analysis, supported by the simulation and experimental results, helps in the selection of the best path planning;

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Fundamentals of Robotics

. Trajectory planning schemes are discussed in Chapter 3. To determine joint torques of serial manipulators, dynamic analysis is then carried out and a;

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Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems

in Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems will interest researchers studying public transport systems and;

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Nonlinear Control Techniques for Robot Manipulators - Nonlinear Control of Mechatronic Systems with Applications in Robotics

grasping controller, developed in two stages; high level path planning for the grasping objective, and a low level joint controller using a neural;

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Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots

estimation in GPS-denied environments, as well as path planning techniques for autonomous exploration is also provided, and serves as a holistic;

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Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations

scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large;

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Symplectic Pseudospectral Methods for Optimal Control

are applied to solve optimal control problems arising in various engineering fields, particularly in path planning problems for autonomous;

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SLAM Techniques Application for Mobile Robot in Rough Terrain

, their navigation and path planning approaches, localization and map creating techniques. It examines SLAM paradigms and Bayesian recursive state;

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SLAM Techniques Application for Mobile Robot in Rough Terrain

, their navigation and path planning approaches, localization and map creating techniques. It examines SLAM paradigms and Bayesian recursive state;

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Motion Planning for Humanoid Robots

. Motion planning for these robots can be quite difficult, due to their complex kinematics, dynamics and environment. It is consequently one of the;

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Autonomous Mobile Robots and MultiRobot Systems

book covers the methods and algorithms for the navigation, motion planning, and control of mobile robots acting individually and in groups. It;

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Innovations in Intelligent Machines - 1

; and intelligent autonomous UAV task allocation. Also included is material on UAV path planning; dynamic path planning ; state estimation;

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Adaptive Neural Control of Walking Robots

* Insect observations and hexapod design* Models for co--ordination of walking* Leg trajectory planning and generation* Hexapod kinematics and;

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Robotics

coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors. To;

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Robotics

coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors. To;

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Decision Making, Planning, and Control Strategies for Intelligent Vehicles

-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the;

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Neural Networks for Robotics

of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to;

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Neural Networks for Robotics

of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to;

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Dynamics of Rigid-Flexible Robots and Multibody Systems

This book discusses the dynamic analysis of rigid-flexible robots and multibody systems with serial as well as closed-loop architecture;

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Introduction to Robotics

force control, and trajectory planning of robots; its sub-systems such as actuators, sensors, and vision systems; as well as robotics;

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Tree Climbing Robot

proposes several approaches in autonomous tree-climbing, including the sensing methodology, cognition of the environment, path planning and motion;

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Tree Climbing Robot

proposes several approaches in autonomous tree-climbing, including the sensing methodology, cognition of the environment, path planning and motion;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry

readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and;

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