Papers
9
Total Citations
184
H-Index
6
About
S Adarsh is a robotics researcher specializing in autonomous mobile robot navigation, sensor data fusion, and intelligent control systems. His work focuses on integrating multiple low-cost sensors—ultrasonic, infrared, LiDAR, and wheel encoders—to improve obstacle detection and path planning in uncertain environments. Adarsh’s most cited paper, “Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/robot navigation applications” (2016, 110 citations), provides a foundational analysis of sensor limitations for practical robotics. He further advanced the field by designing sensor fusion algorithms using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and fuzzy logic controllers, as seen in his 2019 paper on autonomous mobile robots (23 citations) and his 2018 work on ANFIS-based fusion (15 citations). His research demonstrates how combining sensor modalities can enhance navigation accuracy and robustness, with applications in self-driving vehicles and service robots. Adarsh’s contributions are widely cited by engineers developing cost-effective, intelligent navigation systems, making him a notable figure in mobile robotics and sensor integration.
Research Focus
Key Achievements
Top Papers
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- 7Canfis based robotic navigation4 citations · 2017
- 8Model Identification and Position Control of Quanser Qube Servo DC Motor3 citations · 2021
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