Papers
8
Total Citations
131
H-Index
5
About
Prabin Kumar Padhy is a researcher whose work spans robotics, control systems, and brain-computer interfaces, with a particular focus on the motion control and trajectory tracking of non-holonomic mobile robots. His most influential contribution, "Sliding Mode Controller Design for Trajectory Tracking of a Non-Holonomic Mobile Robot with Disturbance" (2018), has garnered 56 citations, establishing him as a notable voice in robust control methodologies. His earlier work on PID-based position control of mobile robots (2010, 34 citations) laid a foundational framework for stable tracking using linear and rotational velocity regulation. Padhy has consistently explored intelligent and adaptive control strategies—ranging from neural network-based PID controllers and Cuckoo optimization-tuned PID schemes to Lyapunov function-based approaches enhanced with particle swarm optimization—demonstrating a commitment to bridging classical control theory with modern computational intelligence. Notably, he has extended his expertise into brain-computer interface research, enabling robotic motion control through EEG-based motor imagery signals, opening pathways for assistive technologies. His work on missile guidance further illustrates his versatility across dynamic systems. Collectively, his contributions offer students and researchers a rich intersection of autonomous robotics, adaptive control, and neural engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling and position control of mobile robot34 citations · 2010
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- 5Path control of mobile robot using Cuckoo-PID6 citations · 2015
- 6
- 7Robot motion control using Brain Computer Interface4 citations · 2013
- 8