Susanto Susanto

Universitas Riau Kepulauan, Politeknik Negeri Batam, Universitas Batam

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About

Susanto Susanto is a researcher whose work spans the intersecting fields of rehabilitation robotics, computer vision, and autonomous humanoid robotics. His most recognized contribution lies in the domain of lower limb exoskeleton development, where his 2021 study on real-time knee joint gait identification introduced a wearable sensor system capable of capturing individual walking intentions — a critical prerequisite for building responsive rehabilitation devices. This work has garnered 9 citations, reflecting its relevance to the growing field of assistive technology. Alongside his rehabilitation engineering research, Susanto has made notable contributions to robot soccer and autonomous systems through his work on the BarelangFC humanoid robot platform. His 2020 paper on XNOR-YOLO demonstrated high-precision ball and goal detection optimized for competitive robot soccer environments, earning 5 citations, while his 2023 study advanced the platform further by integrating Tiny-YOLO-based distance measurement with object detection for multi-robot coordination. Together, these works highlight a researcher committed to bridging human-centered robotics with intelligent autonomous systems, contributing practical solutions across rehabilitation engineering and competitive robotics with increasing recognition from the broader research community.