Results 21 to 30 of about 25,198 (167)

Automatic path planning program generation system based on swarm intelligence results

open access: yes智能科学与技术学报, 2022
Path planning algorithms are widely used in various motion planning tasks, such as robot motion and autonomous driving.So far, many excellent path planning algorithms have been proposed for applications in different fields.For a specific task environment,
Yuqian WANG, Rong DING
doaj  

Energy‐Optimal 3D Path Planning for MAV with Motion Uncertainty [PDF]

open access: yesComplexity, 2021
Practical applications of microaerial vehicle face significant challenges including imprecise localization, limited on‐board energy, and motion uncertainty. This paper focuses on the latter two issues. The core of proposed energy‐optimal path planning algorithm is an energy consumption model deriving from real measurements of a specific quadrotor and ...
Yamin Li   +3 more
openaire   +3 more sources

A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning

open access: yesSensors, 2022
Motion planning is one of the important research topics of robotics. As an improvement of Rapidly exploring Random Tree (RRT), the RRT* motion planning algorithm is widely used because of its asymptotic optimality.
Yiyang Liu   +4 more
doaj   +1 more source

The path planning of space manipulator based on Gauss–Newton iteration method

open access: yesAdvances in Mechanical Engineering, 2017
A path planning algorithm based on Gauss–Newton iteration method is proposed for the motion path of space manipulators. The algorithm of space manipulator path planning consists of two optimization aspects, the optimal joint motion target and the ...
Yaen Xie   +5 more
doaj   +1 more source

Path Planning of Continuum Robot Based on Path Fitting

open access: yesJournal of Control Science and Engineering, 2020
The Continuum Robot has a multiredundant dof structure, which is extremely advantageous in the unstructured environment, and can complete such tasks as aircraft fuel tank inspection.
Guochen Niu, Yunxiao Zhang, Wenshuai Li
doaj   +1 more source

Manipulator motion planning using flexible obstacle avoidance based on model learning

open access: yesInternational Journal of Advanced Robotic Systems, 2017
Traditional manipulator motion planning methods aim to find collision-free paths. But in highly cluttered environments, it is hard to find available solutions.
Zhixuan Wei   +3 more
doaj   +1 more source

Varying paths and motion profiles in multiple robot motion planning

open access: yesProceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation', 2002
We show how using anytime algorithms for solving the multiple robots motion planning problem allows to evaluate the opportunity of looking for alternative solution paths by generating small variations of robot motions in space and in time. By using the concept of plan robustness, we generate several alternative paths that are evaluated through various ...
FERRARI, CARLO   +4 more
openaire   +3 more sources

Optimal path planning algorithm for coal mine search and rescue robot

open access: yesGong-kuang zidonghua, 2018
In view of problem that global optimal path was difficult to determine due to disturbance of obstacle interval in process of path planning for coal mine search and rescue robot, optimal path planning algorithm for coal mine search and rescue robot based ...
JIN Zujin   +3 more
doaj   +1 more source

Optimized Motion Planners for Virtual-Joint Soft Growing Manipulators in Static Environments

open access: yesIEEE Access
Soft growing manipulators, inspired by plant-like eversion and retraction, offer unique advantages for navigation and manipulation in confined or cluttered environments, but introduce fundamental challenges for motion planning due to their high ...
Omer Kalafatlar   +4 more
doaj   +1 more source

Path Database Guidance for Motion Planning

open access: yesCoRR
One approach to using prior experience in robot motion planning is to store solutions to previously seen problems in a database of paths. Methods that use such databases are characterized by how they query for a path and how they use queries given a new problem.
Amnon Attali   +3 more
openaire   +3 more sources

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