Jay Bhagiya

Robert Bosch (China), Robert Bosch (India)

Papers

Total Citations

H-Index

About

Jay Bhagiya is a rising researcher in autonomous robotics and multi-agent systems, with a focus on safety-critical control and formal methods. His work addresses the fundamental challenge of ensuring safety guarantees during autonomous exploration, a problem often overlooked in real-world applications. In his 2023 paper "Autonomous Exploration Using Ground Robots with Safety Guarantees," Bhagiya tackles this gap by developing exploration strategies that prioritize collision avoidance and operational safety, earning 3 citations as a foundational contribution to the field. He further advances the state of the art in multi-agent coordination with his work on "Scalable Distributed Controller Synthesis for Multi-Agent Systems Using Barrier Functions and Symbolic Control," which introduces a computationally efficient method for synthesizing controllers that enforce both local temporal logic and global safety specifications. This paper, with 2 citations, demonstrates his ability to bridge theoretical control theory with practical scalability. Bhagiya’s research is particularly notable for integrating barrier functions with symbolic control, offering a rigorous framework for safe autonomy. His contributions are poised to impact applications in search-and-rescue, environmental monitoring, and industrial automation, making him a promising voice in the next generation of robotics researchers.