In 2019, I received my master's degree at the Multimedia Lab in NTNU, Taiwan,
focusing on computer vision and domain adaptation under the supervision of Mei-Chen Yeh,
and subsequently worked as a Research Associate.
Before embarking on my doctoral journey, I worked in the industry as a machine learning engineer.
JUN, 2023: DARKO Demo at ARENA2036, Stuttgart, and Automatica 2023, Munich
Research
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
Shih-Min Yang,
Martin Magnusson,
Johannes A. Stork,
Todor Stoyanov ICRA 2024 IROS 2023 Workshop on Leveraging Models for Contact-Rich Manipulation
We suggest using hierarchical reinforcement learning with parameterized primitives to solve occluded grasping tasks
without the need for complex manual controller design.
Dynamic Agile Production Robots that Learn and Optimise Knowledge and Operations
DARKO EU Project
Örebro University,
TUM, Bosch, University of Pisa, EPFL, University of Lincoln, ACT Operations Research
DARKO is innovating agile production robots for efficient and safe intralogistics in warehouses.
In this project, I mainly contribute to WP2: 3D Perception and Scene Understanding.
Object Picking and Constrained Placement by Visual Reasoning
Shih-Min Yang,
Yufei Zhu, Rishi Hazra, Kamran Hosseini, Karol Wojtulewicz
We designed a robotic system for precise object manipulation, integrating a perception module, visual reasoning module, and an in-hand perception and control module.
Yufei, Rishi, and I applied for this project through WASP. In this project, my primary contribution focused on the in-hand perception and control module.