Abhishek Anilkumar
Papers
2
Total Citations
6
H-Index
2
About
Abhishek Anilkumar is a researcher at the forefront of embedded artificial intelligence and human-machine interaction, with a focus on low-power computing and gesture-based control systems. His work bridges the gap between efficient hardware design and practical AI applications, particularly for autonomous mobile robots and intuitive user interfaces. In a notable 2019 contribution, Anilkumar developed a low-power Artificial Intelligence processor tailored for autonomous mobile robots, addressing the critical need for energy-efficient, real-time decision-making in systems ranging from household cleaning robots to delivery drones—a design that outperforms traditional robotic architectures by enabling more effective onboard processing. Building on this, his 2023 research introduced a robust feature extraction technique for hand gesture recognition, enhancing the reliability of non-contact control systems. While his citation counts (3 each for these key papers) reflect a developing career, his work is strategically positioned at the intersection of hardware efficiency and intelligent interaction, offering foundational insights for next-generation autonomous systems and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Robust Feature Extraction Technique for Hand Gesture Recognition System3 citations · 2023
- 2