Aditya Mukherjee
Papers
2
Total Citations
23
H-Index
2
About
Aditya Mukherjee’s research lies at the intersection of assistive robotics, human motion analysis, and wireless communication for multi-robot systems. His most impactful contribution is a novel, marker-less gait analysis technique using the Microsoft Kinect camera, which records lower-limb joint coordinates as an alternative to traditional goniometer-based measurement. This work, published in 2018 and garnering 21 citations, offers a low-cost, accessible method for assistive robotics applications, enabling more natural human-robot interaction in rehabilitation and mobility support. Mukherjee also developed a Wi-Fi communication module for ATmega microcontroller-based mobile robots, addressing the critical need for reliable TCP/IP-based networking in cooperative autonomous navigation and formation control. While this 2017 work has received 2 citations, it demonstrates his foundational interest in scalable, real-time communication for robot swarms. Together, these papers showcase Mukherjee’s dual focus on enhancing robot perception of human movement and enabling robust inter-robot coordination—key pillars for advancing autonomous systems that work alongside people.
Research Focus
Key Achievements
Top Papers
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- 2