陶 斯遠

Siyuan TAO

Graduate School of Engineering, Department of Mechanical Engineering
The University of Osaka
Email: suen.tou@eom.mech.eng.osaka-u.ac.jp

I am an M2 student affiliated with the Ishikawa Laboratory, conducting research on embodied learning algorithms and Visual SLAM quantization. My current research interests focus on Musculoskeletal Robotics and World Models.

I have actively participated in various projects and competitions, gaining hands-on experience in robot design and development. During my undergraduate years, I was a member of Robohan, contributing to robot-building initiatives.

Outside of academia, I enjoy playing tennis and watching anime.

Education

The University of Osaka

Bachelor of Mechanical Engineering

GPA: 3.61 / 4.00

April 2019 - May 2024

The University of Osaka

Master of Mechanical Engineering

GPA: 3.71 / 4.00

April 2024 - May 2026

Skills

Programming Languages & Tools
Technical Skills
  • Robotic control using ROS2
  • Automation Workflow Creation using Make
Languages
  • Chinese (Native)
  • Japanese (Fluent)
  • English (Advanced - TOEFL 99, TOEIC 860)

Interests

Apart from my research, I love staying active outdoors, especially playing tennis with friends. When indoors, I enjoy a variety of genres, including sci-fi, biographies, and anime, with Haikyuu being my all-time favorite. Additionally, I stay engaged with the latest advancements in biography, embodied AI and autonomous drone technology. I also enjoy creating automation tools to enhance my work efficiency.

Achievements

OpenBadge 2024

Journal Articles

  • S. Tao, Y. Minami and M. Ishikawa: "Performance evaluation of ORB-SLAM3 with quantized images", Artificial Life and Robotics, Vol. 30, No. 2, 2025.

Conference Presentations

  • S. Tao, Y. Minami, M. Ishikawa: "Assessing the Impact of Dynamic Image Quantization based on Error Diffusion on Visual SLAM", in Proceedings of the International Symposium on Artificial Life and Robotics, Japan, 2024.
  • S. Tao, Y. Minami, M. Ishikawa: "Memory-Saving Factor Analysis of Visual-Inertial SLAM with Quantized Images", in Proceedings of SICE Festival with Annual Conference, Japan, 2024.
  • S. Tao, Y. Minami, M. Ishikawa: "Performance Enhancement in Autonomous Drone with CLAHE-based Fog Removal Algorithm", in Proceedings of Robomech Conference, Japan, 2025.
  • A. Michikawa, S. Tao, Y. Masuda, M. Gunji, A. Fukuhara, H. Nabae, Y. Harada, K. Suzumori: "Deep Biomimetic Printing Enabling Integration and Composite Fabrication of Tendon-Ligament-Skeletal Structure", in Proceedings of Robomech Conference, Japan, 2025.
  • A. Michikawa, S. Tao, Y. Masuda, M. Gunji, A. Fukuhara, H. Nabae, Y. Harada, K. Suzumori: "Deep Biomimetic Printing using Fiber Embedding and Sponge Ossification", in Proceedings of International Symposium on Adaptive Motion of Animals and Machines (AMAM2025), Germany, 2025.
  • S. Tao, Y. Masuda, H. Nabae, M. Ishikawa: "Co-design of Neural and Muscle Network based on Embodied Perceptron Representation", in Proceedings of IEEE/SICE International Symposium on System Integration (SII 2026), Best Paper Finalist, Mexico, 2026.
  • (Under Review) S. Tao, Y. Minami, M. Ishikawa: "LightDefogGS: Lightweight 3D Fog Removal through Gaussian Splatting and Gradient-Boosted Filtering", in Proceedings of IFAC Conference, Korea, 2026.

Awards

  • Excellence Award in University-wide Education (大阪大学全学教育優秀賞), 2020
  • Special Prize at the NHK Robot Contest, 2021
  • Bronze Medal in Kaggle competition: "Google AI4Code - Understand Code in Python Notebooks", 2022
  • Hatakeyama Award (畠山賞) from the Japan Society of Mechanical Engineers, 2024
  • Best Paper Finalist in the IEEE/SICE International Symposium on System Integration (SII 2026), (Title: "Co-design of Neural and Muscle Network based on Embodied Perceptron Representation"), 2026.
  • Miura Award (三浦賞) from the Japan Society of Mechanical Engineers(JSME), 2026.
  • Engineering Alumni Association Award (大阪大学工業会賞) from the University of Osaka, 2026.

Certifications

  • JLPT (Japanese-Language Proficiency Test) N1 (日本語能力試験 N1) — Score: 128 (1 Jul 2018)
  • TOEFL iBT — Score: 99 (29 Oct 2022)
  • TOEIC Reading & Listening — 860 (Jul 2022), 855 (16 Mar 2025)
  • JDLA Deep Learning for GENERAL (G検定) — 2024#3 Certification (Mar 2024)
  • Certificate of Large Language Model Course 2024 (大規模モデル講座2024) — Matsuo-Iwasawa Lab, University of Tokyo (2024)
  • Certificate of World Model Course 2024 (世界モデル講座2024) — Matsuo-Iwasawa Lab, University of Tokyo (2025)
  • Certificate of AI Business Insight Course 2025 (AI経営講座2025) — Matsuo-Iwasawa Lab, University of Tokyo (2025)
  • Certificate of Deep Generative Model Course 2025 (深層生成モデル2025) — Matsuo-Iwasawa Lab, University of Tokyo (2025)
  • Certificate of Competency in Computer Vision for Industrial Inspection — NVIDIA Deep Learning Institute (DLI) (2026)

Other Achievements and Activities

  • Graduate School Entrance Examination Exemption due to excellent undergraduate academic performance, 2023
  • Scholarship Recipient by the Kajima Ikueikai Foundation(鹿島育英会), 2024
  • Poster Presentation: "Assessment of the Relationship Between Intelligence Scaling and Task Efficiency in Embodied Multi-Agent Systems with LLMs" at Sanjo Conference Hall, University of Tokyo, Japan, 2025
  • Research Assistant (RA) under the JST Fusion Oriented Research for disruptive Science and Technology Program, 2025
  • Model Developer for the AIRoA Robot Foundation Model Competition, 2025
  • Awardee of the JST Next-Generation AI Human Resource Development Program (AI BOOST) (JST次世代AI人材育成プログラム), 2026
Certifications

Research