Madhav Rijal

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About

Madhav Rijal is a robotics researcher whose work is shaping the future of agricultural automation, with a specific focus on addressing the critical challenge of declining natural pollinators. His primary research areas lie at the intersection of precision robotics, multi-agent systems, and computer vision for agricultural applications. Rijal’s most significant contribution is the design and development of **Stickbug**, a novel six-armed precision pollination robot. This work, published in 2024 and already garnering 14 citations, is notable for ingeniously combining the pinpoint accuracy of single-agent robotic systems with the parallelization benefits of a multi-agent swarm, making it a highly efficient solution for greenhouse environments. Building on this hardware, his 2025 paper introduces **FloPE (Flower Pose Estimation)** , a real-time framework that enables computationally constrained robots to accurately perceive and interact with flowers. With this body of work, Rijal is directly tackling the global food security threat posed by pollinator decline, establishing himself as a key innovator in the field of robotic agriculture.