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
Top Papers
- 1RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning12 citations · 2023
- 2