Max Robotics — Global Service Robot Directory + US Certification

About

Kiho Kwak is a robotics and computer vision researcher whose work centers on autonomous mobile robot perception, sensor fusion, and motion planning. He has made significant contributions to the field through his development of LiDAR-camera calibration techniques, most notably his widely recognized work on extrinsic calibration of single-line scanning LiDAR and camera systems (2011, 87 citations), which has become a foundational reference for researchers building multimodal perception pipelines. His investigations into traversability estimation for unstructured outdoor environments reflect a sustained commitment to enabling robust autonomous navigation in real-world conditions, with his probabilistic traversability mapping approach (2016, 75 citations) demonstrating how 3D LiDAR and camera data can be fused to assess challenging terrain. More recently, Kwak has advanced sampling-based control through his work on smooth Model Predictive Path Integral (MPPI) control (2022, 52 citations), offering an elegant solution for generating smooth actions in nonlinear systems without external smoothing. His 2023 work on self-supervised 3D traversability estimation further highlights his drive toward scalable, experience-driven learning for off-road robotics. Collectively, his publications have accumulated hundreds of citations, marking him as an influential voice in field robotics and autonomous systems research.