Shashi Shekhar Jha
Indian Institute of Technology Guwahati, Indian Institute of Technology Ropar
Papers
12
Total Citations
101
H-Index
7
About
Shashi Shekhar Jha is a pioneering researcher at the intersection of distributed intelligence, multi-robot systems, and bio-inspired computing. His work fundamentally reimagines how networks of autonomous agents—from mobile robots to UAV swarms—coordinate and communicate without centralized control. Drawing inspiration from social insect colonies, Jha has developed stigmergy-based synchronization mechanisms that enable asynchronous nodes to complete complex task sequences through indirect environmental cues, a paradigm shift from traditional direct communication protocols. His highly cited paper "Tartarus" (23 citations) explores how the pervasive Internet can transform embedded devices from passive nodes into active, intelligent participants in distributed systems. Jha's contributions extend to artificial immune systems for autonomous robot navigation, mobile agent-based task allocation (TANSA, 9 citations), and multi-UAV formation control for dynamic object tracking. His recent work on evaluating GAN-generated 3D terrain for immersive virtual environments (2024, 6 citations) demonstrates his continued innovation in bridging robotics and artificial intelligence. With over 90 cumulative citations across his portfolio, Jha's research has established foundational principles for decentralized intelligence in heterogeneous robotic networks, influencing both theoretical frameworks and practical implementations in swarm robotics.
Research Focus
Key Achievements
Top Papers
- 1Tartarus23 citations · 2015
- 2
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- 4A logic programming interface for multiple robots10 citations · 2012
- 5TANSA: Task Allocation Using Nomadic Soft Agents for Multirobot Systems9 citations · 2017
- 6
- 7Autonomous Mobile Robot Navigation using Artificial Immune System7 citations · 2013
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- 9
- 10On Rendering Emotions on a Robotic Face5 citations · 2013