Y
Yogang Singh
Researcher at University of Plymouth
Publications - 23
Citations - 493
Yogang Singh is an academic researcher from University of Plymouth. The author has contributed to research in topics: Motion planning & Underwater glider. The author has an hindex of 10, co-authored 22 publications receiving 291 citations. Previous affiliations of Yogang Singh include Purdue University & Indian Institute of Technology Madras.
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Journal ArticleDOI
A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents
TL;DR: Even after embargo period expires, authors' right to distribute as green open access is conditional on the green openAccess version including a DOI link, and on thegreen open access version being distributed under the Creative Commons CC-BY-NC-ND licence.
Journal ArticleDOI
CFD approach to modelling, hydrodynamic analysis and motion characteristics of a laboratory underwater glider with experimental results
TL;DR: In this paper, the experimental lift and drag characteristics of a glider from the literature using Computational fluid dynamics (CFD) approach was validated using experimental data and a two-mass variable buoyancy engine.
Journal ArticleDOI
A Novel Double Layered Hybrid Multi-Robot Framework for Guidance and Navigation of Unmanned Surface Vehicles in a Practical Maritime Environment
TL;DR: This study proposes a hybrid framework for guidance and navigation of swarm of unmanned surface vehicles (USVs) by combining the key characteristics of formation control and cooperative motion planning, which provides a robust methodology of global and local collision avoidance based on known positions of the USVs.
Proceedings ArticleDOI
Feasibility study of a constrained Dijkstra approach for optimal path planning of an unmanned surface vehicle in a dynamic maritime environment
TL;DR: This work investigates a well-known search technique, the Dijkstra algorithm, to resolve the problem of motion planning for a USV moving in a maritime environment and shows that the approach is effective for global path planning of USVs.
Journal ArticleDOI
Towards use of Dijkstra Algorithm for Optimal Navigation of an Unmanned Surface Vehicle in a Real-Time Marine Environment with results from Artificial Potential Field
TL;DR: A path planning study using a well‐known local path planning method artificial path planning (APF) has been conducted in a real time marine environment and effectiveness is measured in terms of path length and computational time.