Papers

10

Total Citations

58

H-Index

5

About

R. Harikrishnan is a prolific robotics and artificial intelligence researcher whose work spans mobile robot navigation, assistive technologies, and autonomous systems. His most significant contributions lie in the domain of intelligent path planning, where he has pioneered the application of reinforcement learning techniques — most notably the Deep Deterministic Policy Gradient with Differential Gaming (DDPG-DG) framework — to enable mobile robots to navigate safely through dynamic, uncertain environments. His 2024 work on this topic has already garnered 17 citations, underscoring its immediate impact on the field. Harikrishnan has also made meaningful strides in decision-making under uncertainty, developing POMDP-based probabilistic models and novel algorithms for handling the computational challenges inherent to partially observable environments. Beyond navigation, his research demonstrates a strong commitment to socially impactful technology, including a smart shopping cart for visually impaired individuals and agricultural drones capable of detecting plant diseases through digital image processing. His work on swarm robotics for mine detection and firefighting assistance robots further highlights his versatility. With contributions spanning over a decade — from early biomimetic Mars robot concepts to cutting-edge AI-driven navigation — Harikrishnan represents a dynamic and humanistically motivated voice in modern robotics research.

Research Focus

Key Achievements

5
H-Index
10
Papers
58
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration
17 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Symbiosis International University, Anna University, Chennai

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago