Adam Imdieke

University of Minnesota Computer Science Ph.D. Student

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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
Apr 29, 2025 Preprint posted: SPARK-Remote: A Cost-Effective System for Remote Bimanual Robot Teleoperation. We present a low-cost remote teleoperation setup enabling accessible bimanual manipulation research.
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.