Himanshu Kaul
Papers
3
Total Citations
17
H-Index
2
About
Himanshu Kaul’s research lies at the intersection of human-robot collaboration, intelligent manufacturing, and edge computing, with a focus on creating adaptive, human-centred production systems. His most cited work introduces an Adaptive Cooperative Co-evolutionary Algorithm that balances heterogeneous assembly lines by integrating multi-skilled human-robot collaboration—a key contribution to inclusive and resilient manufacturing. This paper has garnered 8 citations, reflecting its relevance to the growing field of cobot deployment. Kaul also made notable strides in hardware acceleration, co-authoring a study on a ray-casting accelerator in 10nm CMOS that enables efficient 3D scene reconstruction for edge robotics and augmented reality, achieving energy savings through opportunistic approximate interpolation. This work, also with 8 citations, demonstrates his versatility in bridging algorithmic and hardware innovations. Additionally, his exploration of agent-based modelling for self-organized logistics in decentralised production systems points toward future directions in autonomous manufacturing. Kaul’s contributions are shaping the next generation of smart, collaborative, and computationally efficient production environments.
Research Focus
Key Achievements
Top Papers
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