Papers

2

Total Citations

15

H-Index

2

About

Karol Janik is a robotics researcher whose work bridges the gap between industrial manufacturing and intelligent automation. His primary research areas include robotic assembly, manipulation planning, and the application of the Industrial Internet of Things (IIoT) for real-time process monitoring. Janik’s most significant contribution is the introduction of **RAMP (Robotic Assembly Manipulation and Planning)**, an open-source benchmark designed to evaluate robotic systems on realistic industrial assembly tasks. By challenging robots to assemble beams using peg fasteners, RAMP tests both high-level planning and low-level execution, providing a standardized yardstick for the research community. This work has already garnered 12 citations since its 2023 publication, signaling its growing influence. Earlier, Janik explored the use of IIoT for leading-edge assembly real-time monitoring, addressing the aerospace industry’s need for increased automation in commercial aircraft manufacturing. His research is notable for its direct industrial relevance, offering practical solutions for complex, real-world assembly challenges. Through his work, Janik is helping to define the next generation of flexible, data-driven robotic manufacturing systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Manufacturing Technology Centre (United Kingdom)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago