Steven Oh

Email: oh.steven [at] fuji.waseda.jp

I am a fourth-year undergraduate student at Waseda University, majoring in Mechanical Engineering with a minor in Computer Science. I am currently a visiting scholar at Carnegie Mellon University, working with Prof. Deepak Pathak and Prof. Nancy Pollard. At Waseda University, I conduct undergraduate research under the supervision of Prof. Tetsuya Ogata and Prof. Shigeki Sugano.

Previously, I was a robotics research intern at OMRON SINIC X, and a visiting scholar at Imperial College London, advised by Dr. Dandan Zhang. During my high school years, I participated in a robotics research project at RIKEN under the guidance of Prof. Shingo Shimoda.

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Life Updates

[November 2025] -- I will be joining CMU as a visiting scholar working with Prof. Nancy Pollard and Prof. Deepak Pathak.

Research

I am broadly interested in compliance control, tactile sensing, and contact-rich manipulation via behavior cloning.

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CLAW: A Soft Wrist with Anisotropic and Selective Stiffness for Safe Robot Learning in Contact-rich Manipulation

Steven Oh*, Tomoya Takahashi*, Cristian Camilo Beltran-Hernandez, Yuki Kuroda, Masashi Hamaya
Under review
CoRL 2025 Open Hardware Workshop
arxiv / paper

CLAW is a novel soft wrist mechanism providing large 6-DoF deformation and mode-switchable anisotropic stiffness for robust contact-rich manipulation.

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TacEva: A Performance Evaluation Framework for Vision-Based Tactile Sensors

Qingzheng Cong*, Steven Oh*, Wen Fan*, Shan Luo, Kasper Althoefer, Dandan Zhang
Advanced Intelligent Systems (JCR Q1, IF: 6.1)
arxiv / wiley / website

TacEva is a performance evaluation framework for vision-based tactile sensors that provides standardized benchmarks and metrics for assessing sensor capabilities in contact-rich manipulation tasks.

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Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning

Koki Yamane, Cristian C. Beltran-Hernande, Steven Oh, Masashi Hamaya, Sho Sakaino
Under review

We propose I2RLC to safely refine accelerated demonstrations for fast, contact-rich manipulation by progressively increasing execution speed while iteratively reducing tracking error.



Projects

This includes coursework, side projects, and engineering work.

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Fine tuning VLA models on Torobo Humanoid Robots

Internship project with Tokyo Robotics
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Developed a ROS-based data collection pipeline and an AWS SageMaker training pipeline, and fine-tuned Octo for pick-and-place manipulation tasks.

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Robot sketching system with vector flow

Research project at Toyota-RIKEN collaboration center

Designed robotic pencil sketching system using vector flow-based algorithm to process internet images and torque control to draw high-fidelity pencil sketch.