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Obstacle avoidance in local navigation

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TLDR
A reactive navigation system for an autonomous non-holonomic mobile robot in dynamic environments with multiple moving objects and the sensory perception is based in a laser range finder (LRF) system.
Abstract
A reactive navigation system for an autonomous non-holonomic mobile robot in dynamic environments is presented. A new object detection algorithm and a new reactive collision avoidance method are presented. The sensory perception is based in a laser range finder (LRF) system. Simulation results are presented to verify the effectiveness of the proposed local navigational system in unknown environments with multiple moving objects.

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References
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Journal ArticleDOI

Real-time obstacle avoidance for manipulators and mobile robots

TL;DR: This paper reformulated the manipulator con trol problem as direct control of manipulator motion in operational space—the space in which the task is originally described—rather than as control of the task's corresponding joint space motion obtained only after geometric and geometric transformation.
Book

Robot Motion Planning

TL;DR: This chapter discusses the configuration space of a Rigid Object, the challenges of dealing with uncertainty, and potential field methods for solving these problems.
Journal ArticleDOI

The dynamic window approach to collision avoidance

TL;DR: This approach, designed for mobile robots equipped with synchro-drives, is derived directly from the motion dynamics of the robot and safely controlled the mobile robot RHINO in populated and dynamic environments.
Journal ArticleDOI

The vector field histogram-fast obstacle avoidance for mobile robots

TL;DR: A real-time obstacle avoidance method for mobile robots which has been developed and implemented, named the vector field histogram (VFH), permits the detection of unknown obstacles and avoids collisions while simultaneously steering the mobile robot toward the target.
Journal ArticleDOI

Motion Planning in Dynamic Environments Using Velocity Obstacles

TL;DR: This paper presents a method for robot motion planning in dynamic environments that consists of selecting avoidance maneuvers to avoid static and moving obstacles in the velocity space, based on the rental positions and velocities of the robot and obstacles.
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