A. A. Nippun Kumaar

Amrita Vishwa Vidyapeetham

Papers

15

Total Citations

163

H-Index

8

About

A. A. Nippun Kumaar is a robotics researcher whose work spans mobile robot navigation, path planning, and machine learning-based robot programming. With a career tracing back to 2011, he has made sustained contributions to making robots smarter, more autonomous, and easier to program. Kumaar's most influential work centers on applying deep reinforcement learning to mobile service robot navigation in dynamic, real-world environments. His 2023 paper on this topic has garnered 46 citations, reflecting its strong uptake in the robotics community. Complementing this, his 2024 research on federated deep reinforcement learning introduces privacy-aware, distributed training strategies for robot navigation — a forward-looking contribution to multi-robot systems. Beyond learning-based navigation, Kumaar has pioneered practical path planning solutions, including QR code-guided warehouse robots and GPS-based algorithms for agricultural drones, demonstrating a talent for bridging theoretical methods with real-world applications. His early work on Programming by Demonstration and Learning from Demonstration (18 and 6 citations respectively) highlights a consistent interest in making robots teachable by non-experts — a critical concern for service robotics. Across more than a decade of research, Kumaar has built a coherent body of work that advances autonomous, adaptive, and user-friendly robotics — earning over 145 citations in total.

Research Focus

Key Achievements

8
H-Index
15
Papers
163
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Mobile Service Robot Path Planning Using Deep Reinforcement Learning
46 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Amrita Vishwa Vidyapeetham

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago