Arun Jaura

Papers

Total Citations

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About

Dr. Arun Jaura’s research centers on intelligent robotic assembly, with a specific focus on force-guided manipulation and compliance control for complex manufacturing tasks. His major contributions lie in developing algorithms that enable robots to perform high-precision operations, such as splined shaft-hole assembly, by integrating active force feedback with passive mechanical devices. His 1998 paper on Hybrid Compliance Control (HCC) introduced a novel framework that combines active implicit compliance with a Passive Compliance Device (PCD), allowing robots to adapt to real-world variations during assembly—a foundational concept in adaptive robotics. This work, cited 10 times, demonstrates his early influence in the field. His subsequent 1999 paper further advanced this area by proposing a Logic Branching Weighted Algorithm (LBWA), which uses force-sensing data to train robots for complex, angular alignments. While his citation counts reflect a specialized niche, Dr. Jaura’s contributions are notable for their practical impact on industrial automation, particularly in improving the reliability and flexibility of robotic work cells for intricate assembly tasks.