Partiksha

Papers

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About

Partiksha is a rising researcher in the fields of robotics, human–robot interaction, and digital twin simulation, with a particular focus on enhancing the performance and safety of tele-operated systems. Her most cited work, “Robotic Tele-operation Performance Analysis via Digital Twin Simulations” (2022, 17 citations), makes a significant contribution by bridging the gap between virtual modeling and real-world robotic control. In this study, she demonstrates how digital twin environments can be used to accurately simulate closed-loop control commands from human operators, enabling safer and more efficient remote operation in hazardous industrial settings. By integrating autonomous loops with human-in-the-loop control, Partiksha’s research directly addresses critical challenges in tele-robotics, including latency, operator fatigue, and system reliability. Her work is particularly notable for its practical implications in nuclear decommissioning, deep-sea exploration, and disaster response—fields where human safety is paramount. Through her innovative use of digital twins for performance analysis, Partiksha is helping to shape the next generation of resilient, human-aware robotic systems, making her a promising voice in the evolving landscape of collaborative robotics.