[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Rajvanshi et al., 2015 - Google Patents

An efficient potential-function based path-planning algorithm for mobile robots in dynamic environments with moving targets

Rajvanshi et al., 2015

View PDF
Document ID
8821419722745298095
Author
Rajvanshi A
Islam S
Majid H
Atawi I
Biglerbegian M
Mahmud S
Publication year
Publication venue
British Journal of Applied Science & Technology

External Links

Snippet

Existing potential-field based path planning methods in the literature often do not take into account environmental constraints and robot dimensions. Moreover, they normally do not provide the shortest path either. In this paper, we develop a new repulsive potential function …
Continue reading at archive.paparesearch.co.in (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
Kovács et al. A novel potential field method for path planning of mobile robots by adapting animal motion attributes
Li et al. Motion planning for omnidirectional wheeled mobile robot by potential field method
Velagic et al. A 3-level autonomous mobile robot navigation system designed by using reasoning/search approaches
Kim et al. Local path planning using a new artificial potential function composition and its analytical design guidelines
Deepak et al. PSO based path planner of an autonomous mobile robot
Shamsfakhr et al. A neural network approach to navigation of a mobile robot and obstacle avoidance in dynamic and unknown environments
Shiltagh et al. Optimal path planning for intelligent mobile robot navigation using modified particle swarm optimization
Mohanty et al. Path planning strategy for mobile robot navigation using MANFIS controller
Iswanto et al. Path planning based on fuzzy decision trees and potential field
Zhu et al. Motion planning of autonomous mobile robot using recurrent fuzzy neural network trained by extended Kalman filter
Rajvanshi et al. An efficient potential-function based path-planning algorithm for mobile robots in dynamic environments with moving targets
Atia et al. A supervisory-based collaborative obstacle-guided path refinement algorithm for path planning in wide terrains
Tang et al. A reactive collision avoidance approach for mobile robot in dynamic environments
Hellström Robot navigation with potential fields
Vega-Magro et al. A flexible and adaptive spatial density model for context-aware social mapping: towards a more realistic social navigation
Aroor et al. Toward crowd-sensitive path planning
Zhuang et al. On-line real-time path planning of mobile robots in dynamic uncertain environment
Patle et al. The optimized path for a mobile robot using fuzzy decision function
Xidias A decision algorithm for motion planning of car-like robots in dynamic environments
Diaz-Arango et al. Path optimization for terrestrial robots using Homotopy Path Planning Method
Kroumov et al. Neural networks based path planning and navigation of mobile robots
Charalampous et al. Real-Time Robot Path Planning for Dynamic Obstacle Avoidance.
Teymournezhad et al. Path planning of Mobile Robot in Dynamic Environment by Evolutionary Algorithms
Yaghmaie et al. Study of potential ban method for mobile robot navigation in dynamic environment
Anavatti et al. A hybrid algorithm for efficient path planning of autonomous ground vehicles