Jasmeet Singh Ladoiye
Papers
4
Total Citations
22
H-Index
3
About
Jasmeet Singh Ladoiye is a researcher focused on advancing the field of telerobotic surgery, with key contributions in force control and predictive imaging for minimally invasive robotic systems. His work addresses critical challenges in surgical robotics, particularly the destabilizing effects of time delays in teleoperation. Ladoiye’s major contributions include developing model predictive control (MPC) frameworks that enable precise force regulation in surgical robots despite random communication delays, as demonstrated in his most-cited paper, "Force Control of Surgical Robot with Time Delay using Model Predictive Control" (8 citations). He also introduced a kinematic predictive imaging technique to enhance visual feedback for surgeons operating under latency, improving decision-making during minimally invasive procedures. With a cumulative citation count of 22 across his published works, Ladoiye’s research is foundational for safer, more reliable robotic surgery. His notable achievement lies in integrating MPC with real-time force and visual feedback, a novel approach that addresses both control stability and surgeon situational awareness. For students and researchers, Ladoiye’s work offers a compelling example of how control theory can be directly applied to solve practical medical robotics problems, paving the way for next-generation surgical systems.
Research Focus
Key Achievements
Top Papers
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