Adam Imdieke
University of Minnesota Computer Science Ph.D. Student
RPM Lab - 348 Shepard Labs
100 Union Street SE
Minneapolis, MN 55455
Hi, I’m Adam Imdieke, a Ph.D. student in Robotics at the University of Minnesota. My research focuses on developing wearable force sensors that allow robots to sense, interpret, and respond to physical contact with the world around them. By integrating principles from design, mechanics, and sensing technology, I aim to create intelligent, responsive systems that can interact with people and their environments more naturally and safely.
I’m especially interested in how wearable materials and soft interfaces can enhance robotic perception—helping robots not just move, but feel. My work bridges disciplines, combining design and prototyping with inverse kinematics and machine learning to build systems that better perceive and adapt to the world around them.
When I’m not in the lab, you’ll likely find me climbing, building things, or bikepacking around Minneapolis.
News
| Aug 01, 2025 | Accepted: Co-AuthorAugInsert at IROS 2025 |
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| Apr 29, 2025 | Preprint posted: SPARK-Remote: A Cost-Effective System for Remote Bimanual Robot Teleoperation.
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| Sep 01, 2024 | Started Ph.D. in Computer Science (Robotics focus) at the University of Minnesota, Twin Cities. |
| Jul 24, 2024 | Published: Co-Author Talk Through It (RA-L 2024) |
| Sep 01, 2023 | Started M.S. in Robotics at the University of Minnesota, Twin Cities. |