Jeremy Siburian

Email: jeremy.siburian [at] weblab.t.u-tokyo.ac.jp
[ CV (Dec 2025) ] [ Google Scholar ] [ GitHub ] [ X/Twitter ] [ LinkedIn ]

Hi! I'm Jeremy. I am a master's student at The University of Tokyo, advised by Yusuke Iwasawa and Yutaka Matsuo. Currently, I am a visiting researcher at Cornell University, working with Prof. Kuan Fang. I've also been fortunate to receive mentorship from Prof. Jiayuan Mao.

Prior to UTokyo, I received my BEng in Mechanical Engineering at Waseda University under the supervision of Shigeki Sugano. In addition to my studies, I have worked as a robotics research intern at OMRON SINIC X and as a research intern at Daimler Trucks Asia.

If you would like to chat about life, career plan, or research ideas related to AI/ML/robotics, feel free to email me!

News

2026/04: I received the Hsun Kwei and Aiko Takizawa Chou Scholarship from Friends of UTokyo for my visit to Cornell. Thank you FUTI!
2025/10: Attended CoRL 2025 in Seoul and presented ViLaIn-TAMP in the SAFE-ROL Workshop.
2024/09: I gave an invited talk on long-horizon TAMP at Tokyo AI (TAI). See the speaker deck here.
2024/05: Our paper won the Best Video Award at the ICRA 2024 Cooking Robotics Workshop!

Research

PHASE: Compliance-Enabled Tactile Phase Retrieval for Few-Shot Insertion Learning

Jeremy Siburian, , , , ,

Under Review

Grounded Vision-Language Interpreter for Integrated Task and Motion Planning

Jeremy Siburian*, *, *, , ,

CoRL 2025 Workshop on Safe and Robust Robot Learning for Operation in the Real World

Paper Code Website

Integrated Task and Motion Planning for Real-World Cooking Tasks

Jeremy Siburian*, *,

IEEE/SICE International Symposium on System Integrations (SII) 2025
ICRA 2024 Workshop on Cooking Robotics (Best Video Award)

Paper Video

Projects

Robotic Bin Picking System with Tactile Sensing for Assembly Line Deployment
Industry Internship Project at Daimler Trucks Asia, 2023

Developed a robotic bin picking system for assembly line deployment using 3D tactile sensors for force control and slip detection. Managed an R&D budget of 1.5 million yen (Approx. $10k USD).

Code

Presentation Quality Assessment based on Audience Reactions using Neural Networks
Coursework Project at Waseda University, 2023

Developed a novel presentation scoring algorithm based on the level of audience engagements using machine learning (ML) and neural networks.

Paper Code

About Me

I was born and raised in Medan, Indonesia.
In my spare time, I enjoy exploring coffee shops, consuming anime/manga, and getting lost in sci-fi/fantasy.
I enjoy doing various sports. I am "best" at basketball and currently pursuing snowboarding.
My life has been deeply inspired by three things that I am overly invested in: Star Wars, Stephen Curry, and Haikyu.
My current short-term goal is to go to the US next year (2026) to watch Stephen Curry play in person before he retires!

Last updated: January 2026. Template source from here.