P Jeevan Narayana Raju

Vellore Institute of Technology University

Papers

3

Total Citations

12

H-Index

3

About

P. Jeevan Narayana Raju is a robotics researcher dedicated to advancing autonomous systems for life-saving applications, with a primary focus on disaster management, search and rescue, and human-robot interaction. His work tackles the critical challenge of deploying robotic platforms in high-risk environments where human involvement is dangerous. Raju’s most cited paper, “Design and implementation of a rescue and surveillance robot using cross-platform application” (2022, 5 citations), introduces a remotely operated robot controlled via cross-platform applications, enabling safer disaster response. He further explores coordinated autonomy in “Design and Development of swarm AGV’s alliance for Search and Rescue operations” (2023, 4 citations), where he proposes a swarm of ROS-based autonomous ground vehicles for rapid, time-critical missions. His research also extends to versatile hardware design in “Multipurpose Adaptable Robot” (2022, 3 citations), emphasizing robots that transcend conventional industrial uses to address real-time, practical needs. By integrating software architecture with robust mechanical design, Raju’s contributions push the boundaries of how robots can assist in hazardous scenarios, reducing risk to human responders. His work is foundational for students and researchers interested in field robotics, swarm intelligence, and the deployment of autonomous systems in emergency contexts.

Research Focus

Key Achievements

3
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Design and implementation of a rescue and surveillance robot using cross-platform application
5 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Vellore Institute of Technology University

Top Papers

  1. 1
  2. 2
  3. 3
    Multipurpose Adaptable Robot
    3 citations · 2022

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago