Avisek Sharma
Papers
10
Total Citations
37
H-Index
3
About
Avisek Sharma is an emerging researcher specializing in distributed computing, swarm robotics, and autonomous mobile robot systems. His work focuses on fundamental coordination problems — particularly Arbitrary Pattern Formation (APF) and gathering — where groups of autonomous robots must collectively achieve geometric configurations without centralized control. Sharma's most significant contributions address APF on discrete environments, including infinite grids, rectangular grids, and triangular grids, as well as continuous settings such as circles. His 2022 paper on move-optimal and time-optimal pattern formation under asynchronous schedulers has garnered 12 citations, establishing him as a meaningful contributor to this challenging subfield. He has advanced solutions under demanding constraints, including oblivious robots (lacking persistent memory), myopic robots (with limited visibility), and asynchronous scheduling — conditions that closely reflect real-world robotic limitations. Beyond pattern formation, Sharma has explored gathering problems on triangular grids under limited visibility and finite-memory robots on circular environments. His 2024 survey on the computational landscape of autonomous mobile robots from a visibility perspective signals his growing interest in synthesizing this research domain. Accumulating over 35 citations across roughly three years, Sharma represents a promising voice in theoretical swarm robotics and distributed algorithm design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Time Optimal Gathering of Myopic Robots on an Infinite Triangular Grid5 citations · 2022
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- 7Maximum Independent Set Formation on a Finite Grid by Myopic Robots2 citations · 2023
- 8Time Optimal Gathering of Myopic Robots on an Infinite Triangular Grid2 citations · 2022
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