Papers
1
Total Citations
4
H-Index
1
About
Dr. Garima Agrawal is a researcher in multi-agent robotics and game theory, with a focus on developing strategies for robotic systems that emulate human-like coordination and pursuit behaviors. Her most-cited work, "Wheeled Robots playing Chain Catch: Strategies and Evaluation" (2016), introduces a novel extension of the classic pursuit-evasion game, where a growing chain of predator robots collaboratively captures remaining evaders. This study, garnering 4 citations, demonstrates how multi-agent systems (MAS) can tackle complex, dynamic tasks by evolving from simple catch mechanics into scalable cooperative strategies. Dr. Agrawal’s contributions lie in bridging game-based benchmarks with real-world robotic coordination, offering insights into adaptive teamwork and decentralized control. Her work is particularly notable for addressing the challenge of translating human-intuitive game strategies into robotic algorithms, paving the way for applications in surveillance, search-and-rescue, and autonomous swarm operations. By exploring how robots can play and optimize games humans excel at, she advances the frontier of intelligent, collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Wheeled Robots playing Chain Catch: Strategies and Evaluation4 citations · 2016