Nayabrasul Shaik
Papers
4
Total Citations
23
H-Index
3
About
Nayabrasul Shaik is a researcher advancing the frontiers of flexible automation and multi-robot systems, with a focus on Industry 4.0 integration. His key research areas include dynamic environment mapping, low-cost robot localization, and skill-based service robotics. Shaik’s most cited work, “Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System” (2017, 14 citations), addresses the challenge of maintaining accurate maps in changing industrial spaces, enabling robots to adapt to real-time environmental shifts. He further contributes to flexible process automation by proposing robotic systems that can rapidly adjust to evolving products and processes, as seen in his 2019 paper. Notably, Shaik explores affordable localization solutions using RGBD cameras augmented with visual tags, reducing reliance on expensive laser sensors. His 2022 work on Industry 4.0 Asset Administration Shells (AASs) introduces interoperable, standardized digital data sheets for service robots, enhancing system integration and scalability. With a growing citation impact, Shaik’s research bridges practical robotics and smart manufacturing, offering cost-effective, adaptable solutions for modern industrial logistics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards Flexible Process Automation3 citations · 2019
- 3
- 4