Shreyash Gupta
Papers
2
Total Citations
6
H-Index
1
About
Shreyash Gupta is a rising researcher in the field of multi-robot systems, with a focused expertise in decentralized coordination, motion planning, and collision avoidance. His primary research addresses the critical challenge of **multi-robot segregation**—the ability for a swarm of robots to autonomously split into distinct groups to perform collaborative tasks. Gupta’s major contribution lies in integrating **Model Predictive Control (MPC)** with sophisticated path-smoothing algorithms to ensure safe, real-time operation even under unpredictable disturbances. His 2022 paper, "Segregation of Multiple Robots Using Model Predictive Control With Asynchronous Path Smoothing," has garnered 5 citations for its novel framework that handles asynchronous motion events without collisions. Building on this, his 2024 work, "Finite-Time Convergence of Multi-robot Segregation using MPC with Aperiodic Motion Smoothing," introduces a critical guarantee: ensuring robots achieve their segregated formation within a finite, predictable time window—a vital requirement for time-sensitive applications like warehouse logistics or search-and-rescue. Though early in his career, Gupta’s work is carving a clear path toward more reliable, provably safe coordination for the next generation of autonomous robot teams.
Research Focus
Key Achievements
Top Papers
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- 2