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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
openaire   +1 more source

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 ...
openaire   +1 more source

Route planning based on improved artificial potential field method

2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), 2017
Aiming at the problem that the traditional artificial potential field (APF) can not adapt to the complex planning space and fall into the local optimal solution, an improved artificial potential field method is proposed for two-dimensional UAV route planning. This method does not consider the influence of traditional attraction and repulsive force, but
Liu Zhiyang, Jiang Tao
openaire   +1 more source

Non-trap Artificial Potential Field Based on Virtual Obstacle

2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC), 2019
This paper first describes the inherent problems of artificial potential field and analyzes their causes. Then, aiming at the problem of local minimum trap, the virtual obstacle method is proposed to repel mobile robot from traps. Next, in order to solve the chattering phenomenon, a geometric method is proposed to ensure that the route is relatively ...
T. D. Chen, Y. Y. Huang
openaire   +1 more source

Consensus-Based Artificial Potential Field Approach for Swarm

2021 60th IEEE Conference on Decision and Control (CDC), 2021
Manao Machida, Masumi Ichien
openaire   +1 more source

Voronoi Coverage Based on Improved Artificial Potential Field

2022 International Conference on Mechanical and Electronics Engineering (ICMEE), 2022
Kai Cao   +5 more
openaire   +1 more source

Artificial intelligence for natural product drug discovery

Nature Reviews Drug Discovery, 2023
MichaelĀ W Mullowney   +2 more
exaly  

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