Pranav Pothapragada
Papers
1
Total Citations
2
H-Index
1
About
Pranav Pothapragada is an emerging researcher at the intersection of robotics and digital twin technology, with a focus on autonomous navigation and control systems. His most-cited work, "Digital Twin-Based Path Planning and Obstacle Avoidance for a Quadruped Robot" (2024), introduces a novel framework that leverages real-time virtual replicas to enhance the agility and safety of legged robots in complex environments. By integrating digital twins with path planning algorithms, Pothapragada’s approach enables quadruped robots to dynamically adapt to obstacles, reducing collision risks and improving operational efficiency. Though early in his career—with his flagship paper garnering 2 citations—his contributions are already shaping discussions in robotics, particularly for applications in search-and-rescue, industrial inspection, and autonomous exploration. His work underscores a growing trend toward merging simulation and reality to advance robot autonomy. Pothapragada’s research promises to bridge the gap between theoretical planning and practical deployment, marking him as a promising voice in the next generation of roboticists.
Research Focus
Key Achievements
Top Papers
- 1