Shreela Dattawadkar

Intel (India)

Papers

2

Total Citations

26

H-Index

2

About

Shreela Dattawadkar is pioneering the frontier of distributed, autonomous multi-robot systems, with a focus on low-power hardware and intelligent navigation. Her most-cited work, published in 2019, introduces a groundbreaking multi-robot system featuring a custom Robot System-on-Chip (SoC) fabricated in 22nm CMOS, designed for integrated, battery-powered minibots. This system enables collaborative swarms to tackle complex missions—from search-and-rescue to precision agriculture and industrial automation—that exceed the capabilities of any single robot. With 20 citations, this paper highlights her impact in advancing energy-efficient, collective robotic intelligence. Dattawadkar further contributes to autonomous navigation with her 2020 work on an Adaptive Directional Path Planner, which addresses the computationally intensive challenge of real-time, energy-efficient path planning in unknown environments. Her approach optimizes robot navigation for robustness and low power consumption, critical for practical deployment. Through these innovations, Dattawadkar is shaping the future of scalable, cooperative robotics, demonstrating how integrated hardware and intelligent algorithms can unlock new possibilities for autonomous systems in real-world applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
2.4 A Distributed Autonomous and Collaborative Multi-Robot System Featuring a Low-Power Robot SoC in 22nm CMOS for Integrated Battery-Powered Minibots
20 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Intel (India)

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago