
Honnang Alao
@honnangalao
I build real-time 3D perception systems for robotic manipulation.
What I'm looking for
At PLAiF, I build robotic piece-picking perception pipelines that combine object recognition, stereo and RGB-D geometry, point clouds, surface normals, and 6D pick-pose estimation through ROS.
I've designed depth and segmentation models from training through deployment, reducing TensorRT FP16 inference from 39.6 ms to 24.14 ms on an RTX 4080. I'm also the first author of a WACV 2027 stereo-matching submission and three earlier super-resolution papers.
Experience
Work history, roles, and key accomplishments
Deep Learning / Computer Vision Engineer
PLAiF Co., Ltd.
Oct 2022 - Present (3 years 11 months)
Built robotic piece-picking perception pipelines combining object recognition, stereo/RGB-D geometry, point-cloud processing, surface-normal estimation and 6D pick-pose estimation, integrated with downstream robot systems through ROS. Architected disparity and depth-estimation models for robotic perception, balancing cross-domain accuracy with real-time inference; leading a foundation-based stereo
Education
Degrees, certifications, and relevant coursework
Sun Moon University
Master of Science, Computer & Electronic Engineering
2021 - 2023
Graduate research in computer vision and AI image processing, including classification, segmentation, and efficient single-image super-resolution, resulting in three first-author publications.
Sun Moon University
Bachelor of Science, Electronic Engineering
2017 - 2021
Bachelor of Science in Electronic Engineering from Sun Moon University.
Availability
Location
Authorized to work in
Salary expectations
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Skills
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