Parker Owan
Papers
6
Total Citations
49
H-Index
5
About
Parker Owan is a robotics researcher focused on human-machine collaboration for confined-space manufacturing. His work addresses the critical challenge of enabling robots to assist human workers in ergonomically demanding environments, such as aircraft wing assembly, where small, rapidly deployable robots can replace human entry into hazardous spaces. Owan’s major contributions include developing dynamic autonomy frameworks that use imitation learning to allow robots to learn task-specific behaviors from human demonstration, enabling faster teleoperation in confined spaces. He has also pioneered mixed-initiative control systems that arbitrate between human and machine control based on uncertainty, balancing machine precision with human adaptability. His most cited work, “Faster Confined Space Manufacturing Teleoperation Through Dynamic Autonomy With Task Dynamics Imitation Learning” (16 citations), exemplifies this approach. Owan has further advanced the field through gesture-based control interfaces for robotic assistants and the development of CoreRobotics, an open-source C++ library for cross-platform robot control. His research, spanning shared control, iterative learning control, and human-robot interaction, has accumulated over 49 citations, establishing him as a key contributor to safer, more efficient manufacturing automation.
Research Focus
Key Achievements
Top Papers
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- 5Uncertainty-based Arbitration of Human-Machine Shared Control6 citations · 2015
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