Amornpun Phunopas

King Mongkut's University of Technology North Bangkok

Papers

Total Citations

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About

Dr. Amornpun Phunopas is a robotics researcher whose work centers on enhancing autonomous navigation for legged robots in challenging, unstructured environments. Their key contributions lie at the intersection of computer vision and robotic locomotion, particularly for quadruped platforms. In their notable work, "VENRiR: Vision Enhance for Navigating 4-legged Robot in Rough Terrain" (2020), Dr. Phunopas addressed a critical gap in field robotics: enabling robots to traverse difficult terrains—such as those encountered in urban search and rescue or agricultural mudding areas—without relying solely on force sensors. By integrating vision-based perception, their research offers a more adaptable and cost-effective approach to terrain assessment and gait planning. While the paper has garnered 1 citation, its conceptual foundation is significant for advancing the practicality of legged robots in real-world, high-stakes applications. Dr. Phunopas’s work contributes to the broader goal of making autonomous robots more resilient and capable in environments where traditional wheeled or tracked systems fail, marking them as a thoughtful contributor to the evolving field of field robotics and embodied AI.