Jeremy Siburian

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

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

I have spent time at OMRON SINIC X as a robotics research intern and at Daimler Trucks Asia as a research intern. I received my B.Eng. in Mechanical Engineering from Waseda University, where I was advised by Shigeki Sugano.

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

News

Apr 2026: Grateful to receive the Hsun Kwei and Aiko Takizawa Chou Scholarship from Friends of UTokyo for my visit to Cornell.
Oct 2025: Attended CoRL 2025 in Seoul and presented ViLaIn-TAMP at the SAFE-ROL Workshop.
Sep 2024: Invited Talk at Tokyo AI (TAI) on long-horizon TAMP. See the speaker deck here.
May 2024: Our paper received 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

Phase-aware retrieval for few-shot peg-in-hole insertion, using tactile signals from compliant contact to segment demonstrations and retrieve phase-consistent experience for policy learning.

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

A neuro-symbolic framework with a vision-language interpreter and modular TAMP system that converts multimodal inputs into structured problem specifications, grounds them through symbolic-geometric constraint reasoning, and refines failed attempts via corrective planning.

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

Integrated task and motion planning for real-world dual-arm cooking, combining PDDLStream and MoveIt Task Constructor with cooking skills such as object fixturing, force-based tip detection, and learned slicing.

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: May 2026. Template source from here.