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About

Saurab Verma is a leading researcher in bio-inspired robotics, specializing in the modeling, control, and autonomous navigation of robotic fish and wheeled-legged robots. His major contributions lie in developing novel data-assisted and analytical dynamical models for precise speed tracking and motion control of multilink robotic fish, addressing the complex hydrodynamics often absent from traditional Newtonian models. Verma’s work has significantly advanced robust adaptive control techniques, enabling robotic fish to maintain directional stability under dynamic environmental conditions. His most-cited paper, "Data-Assisted Modeling and Speed Control of a Robotic Fish" (2016), has garnered 38 citations, while his analytical modeling approach for precise speed tracking (2017) has been cited 33 times. Beyond aquatic robotics, Verma has tackled the challenging problem of wheeled-legged robot exploration in unknown rough terrain, introducing a prioritized exploration pipeline that integrates traversability analysis and frontier-based methods. His comparative studies on speed control efficiencies and implementation of terminal sliding mode control further underscore his impact. With a total of over 110 citations across his key works, Saurab Verma continues to push the boundaries of robotic locomotion and adaptive control, offering practical solutions for real-world autonomous systems.