Jeremy Siburian

Email: jeremy.siburian [at] weblab.t.u-tokyo.ac.jp
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Hi! I'm Jeremy. I am a first year master's student at The University of Tokyo, advised by Yusuke Iwasawa and Yutaka Matsuo as part of the Matsuo-Iwasawa Lab. I am also fortunate to be mentored closely by Jiayuan Mao.
In addition to my studies, I currently work as a robotics research intern at OMRON SINIC X. Previously, I gained valuable industry experience as a research intern at Daimler Trucks Asia. Prior to UTokyo, I received my BEng in Mechanical Engineering at Waseda University under the supervision of Shigeki Sugano.

News

Research

My ultimate research goal is develop autonomous robots that can be incorporated in our daily lives. I envision robots that can perform long-horizon planning in complex environments, continuously learn new skills throughout their lifetime, while interacting naturally with humans. To this end, my current research interests revolve around foundation models for decision-making, continual skill learning, and human-robot interaction.
Code Release Progress: 20 / 22 (90.9%).
Grounded Vision-Language Interpreter for Integrated Task and Motion Planning
Jeremy Siburian*, *, *, , ,
In Submission, ICRA 2026
CoRL 2025 Workshop on Safe and Robust Robot Learning for Operation in the Real World
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)

Projects

Code Release Progress: 20 / 22 (90.9%).
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).
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.

About Me

Last updated: November 2025. Template source from here.