Mrinal Verghese
Papers
3
Total Citations
39
H-Index
3
About
Mrinal Verghese is a robotics researcher whose work bridges the critical gap between real-time motion planning and the control of complex, high-dimensional robotic systems. His key research areas include robot motion planning, collision detection, and the control of continuum robot manipulators, with a particular focus on enabling robust performance in highly constrained environments. Verghese’s most impactful contribution is his work on “Configuration Space Decomposition for Scalable Proxy Collision Checking,” which addresses a fundamental bottleneck in robot control stacks: the computational expense of collision checking. By proposing a scalable decomposition method, his research significantly accelerates real-time planning in complex environments, earning 17 citations. In parallel, his pioneering work on model-free visual control for continuum robot manipulators, presented in two highly cited papers (totaling 22 citations), introduces an orientation-adaptive controller that leverages optical flow measurements from a distal camera. This approach compensates for actuation uncertainties in constrained spaces without requiring a system model, marking a notable achievement in adaptive control. With a total of 39 citations across his top papers, Verghese’s contributions are shaping more efficient and adaptable robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
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