Papers
1
Total Citations
2
H-Index
1
About
Vinita Sao is a rising researcher in decentralized multi-robot systems, with a focus on task allocation and communication-efficient coordination. Her most-cited work, "Event Driven CBBA with Reduced Communication" (2025), addresses a critical challenge in multi-drone surveillance and search-and-rescue missions: enabling multiple robots to accomplish tasks simultaneously under limited communication constraints. By refining the Consensus-Based Bundle Algorithm (CBBA), Sao introduces an event-driven approach that significantly reduces communication overhead while maintaining robust task allocation. This contribution is vital for real-world deployments where bandwidth is scarce and coordination must be resilient. With 2 citations already in a short time, her work signals growing interest from the robotics and autonomous systems community. Sao’s research bridges the gap between theoretical algorithms and practical, decentralized operations, making her a promising voice in the field. Her achievements underscore a commitment to scalable, real-time solutions for multi-agent systems operating in dynamic and communication-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1Event Driven CBBA with Reduced Communication2 citations · 2025