Prateek Ashok
Papers
1
Total Citations
7
H-Index
1
About
Prateek Ashok is a researcher at the intersection of robotics and intelligent manufacturing, with a primary focus on Programming by Demonstration (PbD) and human-robot collaboration. His work addresses a critical challenge in robotics: reducing the complexity of skill learning by enabling robots to acquire tasks directly from human demonstration. Ashok’s most cited paper, “Instrumented Tool based Robot Programming - Parameterization of Screwing Process Macros” (2019, 7 citations), introduces a novel framework that bridges low-level and high-level skill representations. By parameterizing screwing process macros through instrumented tools, he demonstrates how PbD can streamline industrial automation, making robot programming more intuitive and efficient. This contribution is particularly significant for small-to-medium enterprises seeking flexible manufacturing solutions. Ashok’s research is notable for its practical orientation, emphasizing real-world applicability in assembly and screwing tasks. His work has been recognized for advancing the state of the art in skill transfer, offering a pathway toward more adaptive and user-friendly robotic systems. For students and researchers, Ashok’s approach exemplifies how combining sensor instrumentation with demonstration-based learning can democratize robot programming, reducing the expertise barrier and accelerating deployment in dynamic production environments.
Research Focus
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Top Papers
- 1