Results 21 to 30 of about 9,005,999 (284)

Blended local planning for generating safe and feasible paths [PDF]

open access: yes2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Many planning approaches adhere to the two-tiered architecture consisting of a long-range, low fidelity global planner and a short-range high fidelity local planner. While this architecture works well in general, it fails in highly constrained environments where the available paths are limited. These situations amplify mismatches between the global and
Ling Xu, Anthony Stentz
openaire   +2 more sources

Dynamic Path Planning for a 7-DOF Robot Arm [PDF]

open access: yes, 2006
Klanke S, Lebedev DV, Haschke R, Steil JJ, Ritter H. Dynamic Path Planning for a 7-DOF Robot Arm. In: Int. Conf. Intelligent Robots and Systems.
Stefan Klanke   +9 more
core   +1 more source

A Hybrid Path Planning Method for an Unmanned Cruise Ship in Water Quality Sampling

open access: yesIEEE Access, 2019
Cruise ships are widely used in water quality monitoring but suffer from path planning problems in a surface water environment. Solutions to path planning problems have higher requirements of path planning distance and path planning time and the ability ...
Jiabin Yu   +7 more
doaj   +1 more source

NPQ-RRT∗: An Improved RRT∗ Approach to Hybrid Path Planning

open access: yesComplexity, 2021
In recent years, the path planning of robot has been a hot research direction, and multirobot formation has practical application prospect in our life. This article proposes a hybrid path planning algorithm applied to robot formation.
Zihan Yu, Linying Xiang
doaj   +1 more source

LES: Locally Exploitative Sampling for Robot Path Planning

open access: yes2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
Sampling-based algorithms solve the path planning problem by generating random samples in the search-space and incrementally growing a connectivity graph or a tree. Conventionally, the sampling strategy used in these algorithms is biased towards exploration to acquire information about the search-space.
Sagar Suhas Joshi   +2 more
openaire   +3 more sources

Research on local trajectory planning of autonomous mobile robots [PDF]

open access: yesITM Web of Conferences, 2022
In the process of autonomous motion, the mobile robot needs real-time local trajectory planning based on the global smooth path and nominal local trajectory tracking.
Zhou Yang
doaj   +1 more source

Towards a Trajectory Planning Concept: Augmenting Path Planning Methods by Considering Speed Limit Constraints [PDF]

open access: yes, 2014
Trajectory planning is an essential part of systems controlling autonomous entities such as vehicles or robots. It requires not only finding spatial curves but also that dynamic properties of the vehicles (such as speed limits for certain maneuvers) must
Chrpa, Lukáš   +3 more
core   +1 more source

Path searching for mobile robot by local planning.

open access: yesJournal of the Robotics Society of Japan, 1989
本論文は, 視覚情報の大域性を利用して, 未知環境内を探索するローカルパスプラニング方法について述べる. 本移動ロボットシステムは, あいまいな環境において効率よく経路探索を行う, 階層的プラニングシステムを持っている. プラニングシステムは, グローバルプランナとローカルプランナからなっている. グローバルプランナは, スタート地点からゴールまでの大域的なプラニングを行い, 到達可能なサブゴールのシーケンスを出力する. ローカルプランナは, サブゴール間の局所的なプラニングを行う. 本論文では, 視覚センサを用いたローカルパスプラニングアルゴリズムを提案する.
KUBOTA, Takashi   +2 more
openaire   +2 more sources

Global dynamic path‐planning algorithm in gravity‐aided inertial navigation system

open access: yesIET Signal Processing, 2021
Signals from gyros and accelerometers in an inertial navigation system (INS) can be processed to obtain navigation information while its errors accumulate with time.
Shengwu Zhao   +3 more
doaj   +1 more source

Solving the potential field local minimum problem using internal agent states [PDF]

open access: yes, 2008
We propose a new, extended artificial potential field method, which uses dynamic internal agent states. The internal states are modelled as a dynamical system of coupled first order differential equations that manipulate the potential field in which the ...
Mabrouk, M. H., McInnes, C.R.
core   +4 more sources

Home - About - Disclaimer - Privacy