Adjutant - A framework for Flexible Human-Machine Collaborative Systems

Responsibilities

• point-cloud processing backend to extract canonical orientations/directions/planes from user selection and sensory data of work pieces
• GUI components for interaction between user and point-cloud processing backend
• contribution to scientific write-up

Further Material

• [1] Publication: Guerin, Kelleher R., Sebastian D. Riedel, Jonathan Bohren, and Gregory D. Hager. “Adjutant: A framework for flexible human-machine collaborative systems.” In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1392-1399. IEEE, 2014.

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Technology Stack: Python, VTK, OpenCV, PyQt

Work Affilitation: Johns Hopkins University (JHU), in collaboration with Kelleher Guerin