Siddhanta Borah
Papers
6
Total Citations
30
H-Index
4
About
Siddhanta Borah is a robotics researcher specializing in autonomous navigation, path planning, and intelligent control systems for wheeled mobile robots. His work focuses on developing novel algorithms that enable robots to navigate complex, unknown environments while avoiding obstacles and optimizing path efficiency. Borah’s most significant contribution is the creation of the Obstacle-Avoiding Intelligent Algorithm (OAIA), which minimizes travel distance and elapsed time for quad-wheel robots, as detailed in his highly cited 2020 paper (11 citations). He has also pioneered the Intelligent Particle Swarm Optimization (IPSO) controller and the Smart Algorithm for Wheeled Obstacle Avoidance (SAWOA), integrating GPS, ZigBee, and ultrasonic sensors for real-time localization and path tracking. His 2022 paper on the IPSO controller (5 citations) demonstrates enhanced performance in challenging terrains, while his experimental studies with ARM processors and GPS modules showcase practical, hardware-implemented solutions. Borah’s recent work includes a hybrid controller (2024) that further refines navigation in unknown settings. With a growing citation record, his research bridges theoretical algorithm design and real-world robotic applications, making him a notable figure in autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Obstacle-avoiding intelligent algorithm for quad wheel robot path navigation11 citations · 2020
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