Andrew Schoen
Papers
6
Total Citations
95
H-Index
4
About
Andrew Schoen is a leading researcher in human-robot collaboration, with a focus on integrating collaborative robots (cobots) into real-world work environments. His work centers on optimizing the trade-offs between productivity, physical workload, and mental workload when cobots assist human workers. Schoen's major contributions include developing frameworks and tools that bridge the gap between cobot capabilities and practical workplace needs. His paper "Human Robot Collaboration for Enhancing Work Activities" (57 citations) provides foundational insights into task allocation strategies that balance efficiency with worker well-being. He also created CoFrame, a system for training novice cobot programmers, and Authr, a platform for translating human-performed tasks into robot-executable ones. Schoen's recent work on Lively enables multimodal, lifelike robot motion for collaborative and social scenarios, while OpenVP offers customizable visual programming environments for robotics applications. His research is notable for its practical orientation, directly addressing the challenges small-to-large manufacturers face when integrating cobots. By considering both business objectives and worker preferences, Schoen's work helps ensure that cobot integration enhances rather than disrupts human work, making him a key figure in the field of human-robot teaming.
Research Focus
Key Achievements
Top Papers
- 1Human Robot Collaboration for Enhancing Work Activities57 citations · 2022
- 2CoFrame: A System for Training Novice Cobot Programmers15 citations · 2022
- 3Authr12 citations · 2020
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