Seunghyeok Back
Senior Researcher at 한국기계연구원
Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolSeunghyeok Back is a senior researcher at KIMM with a Ph.D. in Robotics and eight years of experience focused on unseen-object robotic manipulation, spanning deep-learning-based segmentation, grasp planning, and placement of novel items. His work bridges academic rigor and industry practice, including a recent applied scientist internship in Amazon Robotics and a postdoctoral stint at Gwangju Institute of Science and Technology. Based in Daejeon, South Korea, he leverages integrated mechanical and AI expertise to tackle real-world perception-to-action problems in automation. Notably, he combines hands-on systems development with research-grade experimentation, making deployments that generalize to objects the robot has never seen before.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Integrated Technology (Robotics Program), Doctor of Philosophy - PhD, Integrated Technology (Robotics Program) at Gwangju Institute of Science and Technology
Github Skills (44)
rendering10
odometry10
segmentation10
computer-graphics10
occlusion10
synthetic-data10
python-codes9
visualization9
pytorch9
python9
open3d9
opengl9
3d9
gpu9
mesh-processing9
Programming languages (6)
Github contributions (5)
gist-ailab/uoais
Sep 2021 - Jul 2022
Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022
Contributions:18 commits, 23 pushes, 1 branch in 9 months
instance-segmentationocclusiondeep-learningpytorchsegmentation
gist-ailab/deep-grasping
May 2021 - Dec 2021
ROS wrapper for DNN based robotic grasping algorithms
Contributions:12 commits, 7 pushes, 1 branch in 6 months
roboticsros
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