Yadukrishnan Ps
Papers
1
Total Citations
5
H-Index
1
About
Yadukrishnan P is a researcher at the forefront of applying swarm intelligence and artificial intelligence to critical infrastructure challenges. His primary research focuses on developing autonomous robotic systems for real-world monitoring and safety applications, with a particular emphasis on railway track inspection. His most cited work, "A Swarm-based AI Aided Wheel Bot System to Detect Cracks in Railway Tracks" (2022, 5 citations), addresses a pressing national concern: the vulnerability of railway tracks to undetected damage and cracks, which are a leading cause of accidents. By integrating swarm robotics with AI-driven detection, Yadukrishnan proposes a proactive, cost-effective solution to enhance rail safety, moving beyond primitive manual inspection methods. This work exemplifies his commitment to translating theoretical advances in multi-agent systems into tangible engineering solutions. His contributions are particularly notable for their potential to save lives and reduce infrastructure failures in developing nations where rail networks are vital yet often under-maintained. Yadukrishnan’s research stands at the intersection of robotics, artificial intelligence, and public safety, marking him as an emerging voice in applied swarm intelligence.
Research Focus
Key Achievements
Top Papers
- 1