Lad Pranav Pratap

Vellore Institute of Technology University

Papers

Total Citations

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About

Lad Pranav Pratap is a robotics researcher whose work sits at the intersection of human-robot collaboration, intelligent control systems, and soft robotics. His research focuses on enabling more intuitive and adaptive robotic systems, with key contributions spanning haptic feedback for collaborative robots, neural network-based control for manipulators, and bio-inspired climbing robots. In his 2017 paper on collaborative robot systems using haptic feedback (3 citations), he developed a framework for shared understanding between robots and humans through agreed communication protocols, opening new avenues for human-robot teamwork. That same year, he published a real-time approach using feedforward neural networks for a 5 DOF robot manipulator (3 citations), solving the inverse kinematics problem for practical, real-time applications. His work on wall climbing robots using soft robotics (2 citations) introduced a lightweight, pneumatic-based prototype for pipe inspection, demonstrating the potential of soft robotics in confined environments. Though early in his career, Pratap’s work bridges foundational robotics challenges—control, collaboration, and mobility—with emerging soft robotics technologies, laying groundwork for safer, more adaptable robots in industrial and inspection settings.