Reno Pangestu

National Taiwan University of Science and Technology

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About

Reno Pangestu is a rising roboticist whose work bridges bio-inspired design and autonomous control for extreme environments. His research centers on motion planning, force-feedback control, and adaptive locomotion for climbing robots, with a particular focus on transverse ledge traversal—a challenging domain inspired by human athletic movement on vertical walls. His most-cited paper, “Motion planning and searching strategy of a transverse ledge climbing robot based on force feedback” (2025, 2 citations), introduces a novel approach to navigating complex ledge configurations, including horizontal, inclined, and discontinuous surfaces, by integrating real-time force sensing to ensure stability and safety. This work addresses critical gaps in grasping strategies for unstructured vertical terrains, offering a foundation for robots deployed in inspection, search-and-rescue, and construction. While still early in his career, Pangestu’s contributions demonstrate a keen ability to translate biomechanical principles into robust robotic systems, with potential to advance autonomous climbing in hazardous environments. His research is particularly notable for its emphasis on force feedback as a primary control modality, a departure from vision-heavy approaches, and promises to inspire future work in agile, safe, and versatile climbing robots.