About

Subhash Bhagat is a researcher specializing in distributed computing and autonomous mobile robotics, with a particular focus on coordination algorithms for swarms of autonomous agents operating in Euclidean spaces. His work addresses foundational challenges in multi-robot systems, including gathering, formation, and visibility problems under realistic constraints such as asynchrony, fault tolerance, and limited sensing capabilities. Bhagat has made notable contributions to fault-tolerant gathering algorithms, demonstrating how asynchronous, oblivious robots can reliably converge even in the presence of crash faults, a problem he has explored across both two-dimensional and three-dimensional settings. His investigations into mutual visibility—asking robots to reposition so that no robot obstructs another's line of sight—have produced optimum algorithms that have become reference works in the field, collectively accumulating over 30 citations. He has also advanced understanding of formation problems, including general position formation and the innovative k-circle formation problem, where robots self-organize into multiple disjoint circular arrangements without centralized coordination. More recently, Bhagat has extended his research to graph-theoretic problems solved by mobile agents, including a 2024 study on maximal independent set computation in anonymous graphs. His body of work, spanning nearly a decade and garnering over 138 citations, reflects a sustained commitment to understanding the theoretical boundaries of what minimally equipped autonomous robots can collectively achieve.

Research Focus

Key Achievements

9
H-Index
19
Papers
178
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Fault-tolerant gathering of asynchronous oblivious mobile robots under one-axis agreement
29 citations · 2015
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Indian Statistical Institute, Indian Institute of Technology Jodhpur, Indian Association for the Cultivation of Science, National Institute of Science Education and Research, University of Ottawa, Université du Québec en Outaouais

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago