Rudino Salleh

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About

Rudino Salleh is a robotics researcher whose work focuses on autonomous navigation, mapping, and localization in unstructured and disaster environments. His primary research areas include encoder-free mapping, 3D position tracking, and semi-autonomous robotic systems for search and rescue operations. Salleh’s most cited paper, “A method for fast encoder‐free mapping in unstructured environments” (2011, 9 citations), introduces a novel approach that enables robots to map and localize without relying on motion estimates—a critical capability when wheel encoders fail in rubble-strewn settings. His related work, “Occupancy voxel metric based iterative closest point for position tracking in 3D environments” (2011, 9 citations), advances 3D localization using voxel-based point cloud matching, further enhancing robot autonomy in complex terrains. Salleh also contributed to “Virtual reconstruction using an autonomous robot” (2012, 4 citations), demonstrating how laser range-finders can generate maps for virtual environment reconstruction. Notably, his involvement in “Semi-Autonomous Robots for RoboCupRescue” (2009, 3 citations) showcases his work on multi-robot systems that balance autonomous operation with human oversight, allowing a single operator to coordinate multiple rescue robots. With a total of 25 citations across his key works, Salleh’s research has laid foundational techniques for resilient, real-world robotic deployment in disaster scenarios.