Papers
7
Total Citations
65
H-Index
4
About
Jayanto Halim is a researcher specializing in human-robot interaction (HRI), intuitive robot programming, and safety systems for agile manufacturing environments. His work sits at the intersection of Industry 4.0 and collaborative robotics, addressing one of the field's most pressing challenges: making industrial robot programming accessible without requiring specialized expertise. Halim's most recognized contribution — his no-code robotic programming framework using markerless, multimodal natural interaction — has garnered 27 citations since 2022, demonstrating significant uptake within the research community. This work enables operators to program robots through intuitive gesture-based interfaces, dramatically reducing setup time for small-batch production scenarios. Complementing this, his research on finger-gesture and point cloud integration further refines orientation estimation and path awareness in robot programming workflows. Beyond programming accessibility, Halim has made notable strides in robot safety, proposing a dynamic finite-state machine architecture for flexible HRI safety management and a situational zone-based control system accommodating heterogeneous safety sensors — both directly relevant to SMEs navigating complex, changeable production lines. His dynamic risk assessment approach reinforces this safety-focused portfolio. Collectively accumulating over 65 citations, Halim's body of work represents a coherent and impactful effort to democratize collaborative robotics for modern, agile industrial settings.
Research Focus
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Top Papers
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