Papers

2

Total Citations

16

H-Index

2

About

Vidyasagar Sadhu’s research sits at the critical intersection of artificial intelligence, multi-agent systems, and autonomous robotics, with a driving focus on real-world, high-stakes applications. His most notable contribution is the **Argus** system, a pioneering framework that leverages Multi-Agent Reinforcement Learning (MARL) to orchestrate cooperation between human bystanders, drones, and robots for disaster situational awareness. By transforming a chaotic disaster scene into a structured 3D mapping effort, Argus demonstrates how intelligent agent coordination can directly enhance rescue operations—a concept that has earned it **14 citations** and established Sadhu as a forward-thinking voice in emergency response technology. More recently, Sadhu has advanced the field with **ContextBots**, a system designed to enable real-time, context-aware inference on aerial robots. This work tackles the fundamental challenge of deploying resource-intensive neural networks on platforms with severe computational and energy constraints, ensuring that autonomous drones can make intelligent decisions on the fly. By bridging the gap between powerful AI models and the practical limitations of edge devices, Sadhu is shaping the future of autonomous systems that are not only smart, but also actionable in dynamic, unpredictable environments. His work is essential reading for anyone interested in deploying AI in the real world.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Argus: Smartphone-enabled human cooperation for disaster situational awareness via MARL
14 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Rutgers Sexual and Reproductive Health and Rights, Rutgers, The State University of New Jersey

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago