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Global path planning using artificial potential fields

Proceedings, 1989 International Conference on Robotics and Automation, 2003
The author describes a path planning technique for robotic manipulators and mobile robots in the presence of stationary obstacles. The planning consists of applying potential fields around configuration-space obstacles and using these fields to select a safe path for the robot to follow.
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PReWAP: Predictive Redirected Walking Using Artificial Potential Fields

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019
In predictive redirected walking applications, planning the redirection and path prediction are crucial for a safe and effective redirection. Common predictive redirection algorithms require many simplifications and limitations concerning the real and the virtual environments to achieve a real-time performance.
Christian Hirt   +2 more
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An Evolutionary Method of Traditional Artificial Potential Field

Applied Mechanics and Materials, 2012
The problems of goals non-reachable with obstacles nearby (GNRON) and dead lock caused by local minimum were described when using Artificial Potential Field (APF) methods for mobile robot path planning in complex environment. Considering the geometric relationship of different obstacles, the heuristic factor of virtual attractive forces was introduced ...
Shun Hong Wang   +4 more
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Cooperative obstacle avoidance using bidirectional artificial potential fields

2016 UKACC 11th International Conference on Control (CONTROL), 2016
This paper presents a novel technique for obstacle avoidance and target location using autonomous underwater vehicles. The proposed method uses the concept of bidirectional artificial potential fields in order to cooperatively avoid obstacles whilst travelling to a desired location.
McIntyre, David   +2 more
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Improved artificial potential field method for local minima

Applied and Computational Engineering, 2023
With the development of autonomous driving technology, its applications permeate many aspects of work and life, providing convenience while reducing labor costs. Path planning has always been important for autonomous driving, where APF is widely used thanks to its simplicity of calculation and effectiveness.
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Trajectory generation using time scaled artificial potential field

Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 2002
A trajectory generation method for the dynamic control of robots is proposed. The method is developed by introducing the combination of a time scale transformation with a time base generator into the artificial potential field approach. This method can actively control the dynamic behavior of the robot without any change of the form of the designed ...
Y. Tanaka   +3 more
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Multiple robot path coordination using artificial potential fields

Proceedings., IEEE International Conference on Robotics and Automation, 2002
A technique for coordinating the paths of multiple robots in the presence of obstacles is presented. To accomplish this, the robots are prioritized. A path that avoids only the stationary obstacles is planned for the highest-priority robot. A trajectory for the next-lowest priority robot is planned so that it avoids both the stationary obstacles and ...
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Improved Artificial Potential Field Method Manipulator Inverse Kinematics

Applied Mechanics and Materials, 2013
The use of traditional analytical method for manipulator inverse kinematics is able to get a display solution with the limitations of the application, only when the robotic arm has a specific structure. In view of the insufficient, this paper presents an improved artificial potential field method to solve the inverse kinematics problem of the ...
Ding Jin Huang, Teng Liu
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Improved Artificial Potential Field for Unknown Narrow Environments

2004 IEEE International Conference on Robotics and Biomimetics, 2005
Path planning in unknown environments is very different from that in known environments, because the robot doesn't know the whole map. So it can only navigate according to the local information from sensors, and can explore the environment step by step.
null Ke Liang   +3 more
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Control Tasks Based on Artificial Potential Fields

2016
Robots with a large number of actuated DOF are able to perform several control tasks simultaneously. Holding a glass of water in a particular position and orientation in space, for example, requires six DOF. If there are more DOF available, this remaining kinematic redundancy can be used to pursue further important objectives such as collision ...
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