Chandra Jaiswal
Papers
4
Total Citations
17
H-Index
4
About
Chandra Jaiswal is an emerging leader in autonomous systems and human-robot collaboration, whose research sits at the intersection of robotics, sensor fusion, and digital twin technology. Jaiswal’s work is characterized by a hands-on, systems-level approach, demonstrated through the design and integration of multi-sensor platforms for indoor navigation. A standout contribution is the development of an autonomous navigation system that fuses camera and IMU data with PID-based path correction, achieving precise lane-following in complex environments. This work, along with a pioneering framework for a digital twin mixed-reality application for human-robot bi-directional collaboration in forming double curvature plates, showcases Jaiswal’s commitment to advancing manufacturing and industrial robotics. Despite being early in their career, Jaiswal’s papers have already garnered a growing number of citations (over 15 across four 2024 publications), signaling significant impact. Their exploration of the NVIDIA Jetson Xavier NX as a computational core for robotics further highlights a focus on deploying cutting-edge, efficient hardware. Jaiswal’s research promises to shape the future of intelligent, collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3On the feasibility of an integrated English wheel system4 citations · 2024
- 4