Papers
8
Total Citations
159
H-Index
5
About
Atal Anil Kumar is a leading researcher at the intersection of robotics and smart manufacturing, whose work is shaping the future of human-robot collaboration within Industry 4.0. His most impactful contribution, a 2022 paper on "Digital Twin for Human–Robot Interactions," has garnered 106 citations and explores how Industry 4.0 enabling technologies can create safer, more efficient collaborative environments. Kumar’s expertise extends to the control and analysis of cable-driven parallel robots (CDPRs), where his work on input-output feedback linearization and workspace analysis provides foundational solutions for underactuated systems. He is also pioneering the integration of augmented reality for intuitive robot programming and artificial intelligence for assembly automation in high-mix, low-volume production scenarios. Further demonstrating his breadth, Kumar has developed a novel model-free fault detection method for robot manipulators, enhancing system robustness in smart manufacturing. Through his research on collaborative robots and advanced control strategies, Kumar is not only advancing theoretical knowledge but also providing practical tools that make industrial automation more flexible, intelligent, and accessible.
Research Focus
Key Achievements
Top Papers
- 1
- 2Collaborative Robots12 citations · 2023
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- 4Workspace Analysis of a 4 Cable-Driven Spatial Parallel Robot10 citations · 2018
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