Tessa J. Pannen
Papers
4
Total Citations
64
H-Index
2
About
Tessa J. Pannen is a robotics researcher whose work spans human-robot collaboration, soft robotics, and intelligent manufacturing systems. Her research addresses some of the most pressing challenges in modern robotics: making robots safer, more perceptive, and more capable of working alongside humans in real-world environments. Pannen's most influential contribution — cited 43 times — applies Microsoft's Kinect v2 depth sensor to implement speed and separation monitoring in collaborative workstations, directly addressing the ISO/TS 15066 safety standard for human-robot interaction. This work offers a practical, accessible pathway for industries seeking to deploy collaborative robots without compromising worker safety. Her research into soft robotics has produced a low-cost, flexible, multi-taxel tactile sensor capable of enabling in-hand object recognition, garnering 17 citations and demonstrating her commitment to making advanced robotic sensing both affordable and manufacturable. This sensor development is particularly significant as soft robots have historically struggled with reliable tactile feedback. Pannen has also contributed to service-oriented robotic manufacturing, drawing on experience from the World Robot Challenge 2018 to inform real-world system design. Across her portfolio, she consistently bridges theoretical safety frameworks with tangible engineering solutions, making her work highly relevant to researchers and practitioners in industrial and collaborative robotics alike.
Research Focus
Key Achievements
Top Papers
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