Papers

9

Total Citations

117

H-Index

6

About

Prithvi Sekhar Pagala’s research lies at the intersection of mobile robotics, energy autonomy, and autonomous navigation in hazardous environments. His work addresses critical challenges in deploying robots for maintenance and inspection tasks in settings like nuclear facilities and hot cells, where human access is dangerous. Pagala’s most cited paper, “Model Based On-Line Energy Prediction System for Semi-autonomous Mobile Robots” (30 citations), introduces a predictive energy management framework that maximizes mission reliability in ionizing radiation zones—a key contribution to field robotics. He also made significant strides in autonomous navigation through his comparative analysis of ROS-based 2D and 3D SLAM algorithms (24 citations), providing practical guidance for selecting computationally efficient mapping solutions for unmanned ground vehicles. Beyond SLAM, Pagala has advanced modular robot systems for cooperative tasks in large facilities (18 citations) and developed energy management modules for hostile environments (16 citations). His work on external force estimation for telerobotics without force sensors (6 citations) further demonstrates his versatility in sensorless control. With a portfolio spanning energy prediction, SLAM optimization, and modular design, Pagala’s research directly supports safer, more autonomous robotic operations in extreme environments.

Research Focus

Key Achievements

6
H-Index
9
Papers
117
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Model Based On-Line Energy Prediction System for Semi-autonomous Mobile Robots
30 citations · 2014
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Consejo Superior de Investigaciones Científicas, Universidad Politécnica de Madrid, Centre for Automation and Robotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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