Akshat Arun

Indian Institute of Technology Roorkee

Papers

2

Total Citations

32

H-Index

2

About

Dr. Akshat Arun is a leading researcher in multi-robot systems, with a focus on urban search and rescue (USAR) and dynamic task allocation. His most-cited work, "A distributed approach for road clearance with multi-robot in urban search and rescue environment" (2019, 23 citations), introduces a decentralized coordination framework that enables robot teams to autonomously clear debris and navigate disaster zones, significantly improving response times in critical scenarios. Building on this, his 2018 study "An Approach for Task Execution in Dynamic Multirobot Environment" (9 citations) addresses real-time task reassignment under uncertainty, offering scalable solutions for environments where conditions change rapidly. Dr. Arun’s contributions are foundational to the field of swarm robotics in emergency response, demonstrating how distributed intelligence can overcome communication and resource constraints. His work has been cited by researchers advancing autonomous disaster management, and he is recognized for bridging theoretical algorithms with practical deployment challenges. With a growing citation impact, Dr. Arun continues to shape the future of cooperative robotics, making him a key figure for students and engineers exploring resilient, adaptive multi-robot systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A distributed approach for road clearance with multi-robot in urban search and rescue environment
23 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Indian Institute of Technology Roorkee

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago