Robin Karlsson
Visiting Professor at Nagoya University
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolRobin Karlsson is a visiting professor and Lead AI Research Engineer with a decade of experience building agentic, self-learning robotics and neurosymbolic AI systems that bridge academic innovation and real-world deployment. His PhD work from Nagoya University introduced a predictive state representation and continual learning approaches now being translated into large-scale warehouse and humanoid robot projects. He has led end-to-end development of government service robots and driven autonomy efforts at Tokyo startups focused on world modeling and autonomous vehicles, combining hands-on systems integration with LLM-driven multi-agent architectures. Based in Tokyo, he steers R&D roadmaps and publishes at top venues while mentoring teams and exploring quantum AI for multi-robot coordination. An uncommon blend of aerospace-grade simulation background and practical product delivery gives him rare fluency across simulation, perception, and embodied agent commercialization.
8 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.) (disc.), Aerospace Engineering, Computational Fluid Dynamics, GPA: 4.05 / 5.00, Master of Science (M.Sc.) (disc.), Aerospace Engineering, Computational Fluid Dynamics, GPA: 4.05 / 5.00 at Aalto UniversityUniversity of TokyoDoctor of Philosophy - PhD, Computer Science, Autonomous Systems, Doctor of Philosophy - PhD, Computer Science, Autonomous Systems at Nagoya University
Swedish, English, Japanese, Finnish, German
Github Skills (18)
pytorch10
semantic-segmentation10
openmmlab10
3d-object-detection10
image-segmentation10
swin-transformer10
transformer10
point-cloud10
medical-image-segmentation10
network-graph9
autoregressive-models9
object-detection9
self-supervised-learning7
lidar7
depth-estimation5
Programming languages (2)
Github contributions (5)
tier4/road_lane_network_graph_open
Jun 2021 - Aug 2021
Code to reproduce results in the paper "Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision" (ITSC 2021)
Contributions:7 commits, 2 PRs, 10 pushes in 2 months
network-graph
robin-karlsson0/vdvae
Jul 2022 - May 2024
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
Contributions:4 PRs, 41 pushes, 31 branches in 1 year 10 months
autoregressive-models
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