Prateek Jain

Thapar Institute of Engineering & Technology

Papers

Total Citations

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About

Prateek Jain’s research bridges the gap between autonomous systems and real-world safety, with a focus on robotics, control theory, and optimization. His most impactful work, “Object Detection and Gesture Control of Four-Wheel Mobile Robot” (10 citations), pioneers a novel gesture-controlled robotic arm system using accelerometer and Wi-Fi-based glove data, enabling intuitive human-robot interaction for mobile platforms. This contribution advances assistive robotics and human-machine interfaces. In “Fast second-order cone programming for safe mission planning” (4 citations), Jain tackles the critical challenge of robust control under uncertainty, developing computationally efficient methods for second-order cone programs (SOCP) that make safe mission planning feasible for dynamic systems—a key enabler for autonomous navigation in unpredictable environments. His work demonstrates a dual commitment: enhancing robot autonomy through intuitive control while ensuring operational safety via advanced optimization. Jain’s research has implications for field robotics, autonomous vehicles, and industrial automation, where real-time safety constraints are paramount. By combining practical hardware implementation with theoretical optimization, he offers a compelling model for researchers seeking to deploy robust, human-centered robotic systems in the wild.