Avishek Chatterjee
Papers
2
Total Citations
35
H-Index
2
About
Avishek Chatterjee’s research lies at the intersection of mobile robotics, computer vision, and sensor fusion, with a focus on enabling autonomous navigation in complex environments. His early work introduced a **two-layered subgoal-based navigation algorithm** that integrates vision systems and IR sensors, allowing mobile robots to plan and execute paths efficiently while avoiding obstacles—a foundational contribution cited over 30 times. He further advanced robotic perception by developing a **dual-camera vision system** capable of robust image feature identification, real-time feature tracking, and accurate 3D distance measurement. This system, which relies on minimizing intensity differences between frames, addresses critical challenges in depth perception and object tracking for autonomous platforms. While his citation impact is still growing, Chatterjee’s work demonstrates a clear commitment to bridging low-cost sensor hardware with intelligent algorithms, making his research particularly relevant for resource-constrained robotic applications. His contributions offer practical insights for students and researchers working on vision-guided navigation, sensor integration, and real-time robotic control.
Research Focus
Key Achievements
Top Papers
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