Avinash Gautam

About

Avinash Gautam is a prominent robotics researcher whose work centers on multi-robot systems, autonomous exploration, task allocation, and coordinated coverage. His highly cited 2012 review of multi-robot systems (130 citations) established him as a key synthesizer of foundational concepts in robot coordination, examining how teams of autonomous agents collaborate to achieve complex goals beyond the reach of individual robots. Gautam's research consistently tackles real-world challenges in robot coordination. His contributions span frontier-based exploration strategies, such as the frontier tree approach for unknown area mapping, and efficient coverage algorithms like the "Cluster, Allocate, Cover" framework, which optimally assigns robots to spatial regions with minimal prior knowledge. His work on balanced workspace partitioning addresses critical fairness issues in Voronoi-based coverage, while his graph partitioning and genetic algorithm approaches enable faster indoor exploration through intelligent spatial division. Beyond exploration, Gautam has advanced multi-robot task allocation, including distributed and dynamic algorithms for heterogeneous robot teams operating under real-world constraints like communication range limitations and time-sensitive delivery windows. With a cumulative citation count exceeding 200 across his publications, his research offers both theoretical rigor and practical frameworks — making his body of work an essential reference for students and practitioners building the next generation of autonomous robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A review of research in multi-robot systems

   130 citations · 2012
2. 2
   Multi-Robot Unknown Area Exploration Using Frontier Trees

   18 citations · 2022
3. 3
   Cluster, Allocate, Cover: An Efficient Approach for Multi-robot Coverage

   15 citations · 2015
4. 4
   FAST

   13 citations · 2016
5. 5
   A Graph Partitioning Approach for Fast Exploration with Multi-Robot Coordination

   13 citations · 2019
6. 6
   A distributed algorithm for balanced multi-robot task allocation

   11 citations · 2016
7. 7
   Balanced partitioning of workspace for efficient multi-robot coordination

   10 citations · 2017
8. 8
   Multi-Robot Online Terrain Coverage under Communication Range Restrictions – An Empirical Study

   7 citations · 2021
9. 9
   A practical framework for uniform circle formation by multiple mobile robots

   6 citations · 2012
10. 10
    DTA-HMR-TT: Dynamic Task Allocation for a Heterogeneous Team of Mobile Robots With Task Transfer

    5 citations · 2024

Key Collaborators

Contact & Links