Results 51 to 60 of about 6,847,583 (383)
Non-Standard Map Robot Path Planning Approach Based on Ant Colony Algorithms
Sensors, 2023 Robot path planning is an important component of ensuring the robots complete work tasks effectively. Nowadays, most maps used for robot path planning obtain relevant coordinate information through sensor measurement, establish a map model based on ...
Feng Li, Young-Chul Kim, Boyin Xu
doaj +1 more source
Velocity field path-planning for single and multiple unmanned ariel vehicles [PDF]
, 2003 Unmanned aerial vehicles (UAV) have seen a rapid growth in utilisation for reconnaissance, mostly using single UAVs. However, future utilisation of UAVs for applications such as bistatic synthetic aperture radar and stereoscopic imaging, will require the
McInnes, C.R.
core +1 more source
Two-Stage Path Planning for Long-Distance Off-Road Path Planning Based on Terrain Data
ISPRS International Journal of Geo-InformationIn the face of increasing demands for tasks such as mountain rescue, geological exploration, and military operations in complex wilderness environments, planning an efficient walking route is crucial.
Xudong Zheng +5 more
doaj +1 more source
A survey of path planning of industrial robots based on rapidly exploring random trees
Frontiers in Neurorobotics, 2023 Path planning is an essential part of robot intelligence. In this paper, we summarize the characteristics of path planning of industrial robots. And owing to the probabilistic completeness, we review the rapidly-exploring random tree (RRT) algorithm ...
Sha Luo +4 more
doaj +1 more source
Path planning under spatial uncertainty [PDF]
Memory & Cognition, 2008 In this article, we present experiments studying path planning under spatial uncertainties. In the main experiment, the participants' task was to navigate the shortest possible path to find an object hidden in one of four places and to bring it to the final destination.
Jan M, Wiener +2 more
openaire +2 more sources
Mobile Robot Path Planning Using a QAPF Learning Algorithm for Known and Unknown Environments
IEEE Access, 2022 This paper presents the computation of feasible paths for mobile robots in known and unknown environments using a QAPF learning algorithm. Q-learning is a reinforcement learning algorithm that has increased in popularity in mobile robot path planning in ...
Ulises Orozco-Rosas +4 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Path planning algorithm for a car like robot based on Coronoi Diagram Method [PDF]
, 2013 The purpose of this study is to develop an efficient offline path planning algorithm that is capable of finding optimal collision-free paths from a starting point to a goal point. The algorithm is based on Voronoi diagram method for the environment
Inun, Haidie
core
, 2017 Unmanned Surface Vehicle (USV) is a new type of intelligent surface craft, and global path planning is the key technology of USV research, which can reflect the intelligent level of USV.
Li, Baoan +3 more
core +1 more source
Local Path Planning: Dynamic Window Approach With Virtual Manipulators Considering Dynamic Obstacles
IEEE Access, 2022 Local path planning considering static and dynamic obstacles for a mobile robot is one of challenging research topics. Conventional local path planning methods generate path candidates by assuming constant velocities for a certain period time. Therefore,
Masato Kobayashi, N. Motoi
semanticscholar +1 more source