Sourav Khemkha
Papers
1
Total Citations
2
H-Index
1
About
Sourav Khemkha is a researcher at the intersection of multi-agent systems, industrial automation, and mechanism design. His work focuses on the strategic coordination of autonomous robots in complex Industry 4.0 environments, where decentralized decision-making is essential for efficient task completion. Khemkha’s most cited paper, “Aspects of Mechanism Design for Industry 4.0 Multi-Robot Task Auctioning” (2018), explores auction-based protocols that enable autonomous robots to bid for and allocate collaborative tasks without centralized control. This contribution addresses a critical challenge in modern manufacturing: how to ensure cooperation and optimal resource use among self-interested robotic agents. By applying principles from game theory and economic mechanism design, Khemkha provides a framework for designing incentive-compatible task allocation systems that are both scalable and robust. Although his citation count is still building—with his flagship work garnering 2 citations—the novelty and timeliness of his research position him as an emerging voice in the field. His work holds promise for real-world applications in smart factories, where multi-robot teams must dynamically adapt to shifting production demands.
Research Focus
Key Achievements
Top Papers
- 1Aspects of Mechanism Design for Industry 4.0 Multi-Robot Task Auctioning2 citations · 2018