Papers
7
Total Citations
53
H-Index
4
About
Pranjal Vyas is a robotics researcher whose work centers on autonomous navigation, collision avoidance, and embedded control for mobile robotic systems. His major contributions lie in applying interval analysis techniques to solve critical challenges in robotics, including multi-agent collision detection and avoidance, optimal path planning for non-holonomic robots, and hardware-efficient implementations for real-time applications. His most cited work, "CORDIC-Based Azimuth Calculation and Obstacle Tracing via Optimal Sensor Placement on a Mobile Robot" (2015, 22 citations), addresses the pressing need for compact, efficient sensing in search-and-rescue robots operating under strict hardware constraints. Vyas has also advanced human-robot collaboration, proposing motion planning frameworks that enable safe trajectory re-planning in dynamic environments shared with humans. His recent proof-of-concept study on a mobile manipulator for automated container loading and unloading (2023) targets warehouse logistics, aiming to reduce worker injury and improve efficiency. With a consistent focus on bridging theoretical interval analysis with practical embedded control, Vyas’s work continues to impact the development of safer, more capable autonomous systems for real-world applications.
Research Focus
Key Achievements
Top Papers
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- 4Optimal path planning for a non-holonomic robot using interval analysis5 citations · 2018
- 5Embedded Control for Mobile Robotic Applications4 citations · 2022
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