Max Robotics — Global Service Robot Directory + US Certification

About

Luis Enrique Sucar is a prominent robotics and computer vision researcher whose work has profoundly advanced autonomous 3D object reconstruction and human-robot interaction. His most significant contributions center on the **next-best-view (NBV) problem** — the challenge of intelligently selecting optimal scanning positions for robots to build complete 3D models of objects. Beginning with foundational work in 2009, Sucar developed novel view planning algorithms that have become widely cited benchmarks in the field, with his 2014 paper on volumetric NBV planning under positioning error alone accumulating 128 citations. His research spans the full pipeline: from hierarchical ray tracing for computational efficiency to supervised learning approaches that enable robots to adaptively plan reconstructions under uncertainty. Beyond reconstruction, Sucar has made meaningful contributions to human-robot interaction, including real-time face recognition systems designed for realistic service robot conditions and robot-assisted rehabilitation — his 2015 randomized controlled trial on robotic hand motor recovery in stroke patients earned 95 citations, demonstrating his reach into clinical applications. His involvement in RoboCup and FPGA-based computer vision further reflects the breadth of his engineering impact. With a body of work totaling hundreds of citations across diverse robotic domains, Sucar stands as an influential figure bridging theoretical robotics research and real-world application.