Amartya Hatua
Papers
2
Total Citations
30
H-Index
2
About
Amartya Hatua is a researcher at the forefront of swarm robotics and multi-agent systems, with a focus on decentralized decision-making and autonomous navigation. His work addresses critical challenges in collective robotics, particularly in enabling large groups of robots to operate without centralized control. Hatua’s most cited paper, “Blockchain Approach to Solve Collective Decision Making Problems for Swarm Robotics” (2019, 24 citations), introduces a novel framework that leverages blockchain technology to achieve secure, transparent, and tamper-proof consensus among swarm members—a breakthrough for applications in defense, precision farming, and surveillance. In another key contribution, “Cumulative Training and Transfer Learning for Multi-Robots Collision-Free Navigation Problems” (2019, 6 citations), he proposes a transfer learning strategy that allows robots to adapt navigation skills across different environments, significantly reducing training time and improving scalability. Hatua’s research bridges theoretical advances with practical deployment, offering robust solutions for real-world swarm applications. His work is increasingly recognized for its originality in merging blockchain with robotics, positioning him as an emerging leader in the field of autonomous collective systems.
Research Focus
Key Achievements
Top Papers
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