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K. R. Guruprasad

Researcher at National Institute of Technology, Karnataka

Publications -  40
Citations -  359

K. R. Guruprasad is an academic researcher from National Institute of Technology, Karnataka. The author has contributed to research in topics: Voronoi diagram & Robot. The author has an hindex of 11, co-authored 39 publications receiving 299 citations. Previous affiliations of K. R. Guruprasad include University of Nebraska Omaha.

Papers
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Journal ArticleDOI

Automated Multi-Agent Search Using Centroidal Voronoi Configuration

TL;DR: It is shown that with the proposed control law the agent trajectories converge in a globally asymptotic manner to the centroidal Voronoi configuration.
Journal ArticleDOI

Heterogeneous locational optimisation using a generalised Voronoi partition

TL;DR: A generalisation of the Voronoi partition is used for locational optimisation of facilities having different service capabilities and limited range or reach, and formal results on the stability, convergence and spatial distribution of the proposed control laws responsible for the motion of the agents carrying facilities are provided.
Proceedings ArticleDOI

Distributed Voronoi partitioning for multi-robot systems with limited range sensors

TL;DR: A distributed algorithm for computation of this range constrained Voronoi cell where each robot independently constructs chords corresponding to other robots that are within a distance of twice its sensor circle radius to prove completeness and correctness and provide the upper and lower bounds on the computational complexity of the algorithm.
Journal ArticleDOI

Performance of a class of multi-robot deploy and search strategies based on centroidal voronoi configurations

TL;DR: In this article, the authors consider a class of deploy and search strategies for multi-robot systems and evaluate their performance in the presence of constraints on robot speed and range for the convergence of trajectories with corresponding control laws responsible for the motion of robots.
Posted Content

Performance of a Class of Multi-Robot Deploy and Search Strategies based on Centroidal Voronoi Configurations

TL;DR: This article considers a class of deploy and search strategies for multi-robot systems and evaluates their performance, finding several important issues related to the dependence of the relative performances of the search strategies on parameters such as the number of robots, speed of robots and their sensor range limits.