Asim Kumar Naskar
Papers
2
Total Citations
14
H-Index
2
About
Dr. Asim Kumar Naskar is a researcher at the forefront of robotics and human–robot interaction, with a particular focus on enabling seamless communication between humans and machines. His work spans computer vision, autonomous navigation, and intelligent control systems. Dr. Naskar’s most notable contribution is his pioneering work on an attention-enabled hybrid convolutional neural network for hand gesture recognition, which significantly enhances the intuitiveness and safety of human–robot collaboration. This highly cited 2024 paper has already garnered 9 citations, reflecting its immediate impact on the field. He has also made important strides in autonomous robot navigation, analyzing the performance of Extended Kalman Filtering in the Simultaneous Localization and Mapping (SLAM) problem, a critical challenge for robots operating in unknown environments. By addressing sensor noise and odometry errors through stochastic filtering, his 2019 work (5 citations) provides a robust framework for differential drive models. Dr. Naskar’s research is essential for developing more responsive, autonomous, and collaborative robotic systems, making him a key figure in advancing next-generation robotics for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Analysis of the Performance of Extended Kalman Filtering in SLAM Problem5 citations · 2019