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Full-Text Articles in Aerospace Engineering
S7e9: What New Frontiers Await For Maine’S Space Economy?, Ron Lisnet, Ali Abedi, Joseph Patton
S7e9: What New Frontiers Await For Maine’S Space Economy?, Ron Lisnet, Ali Abedi, Joseph Patton
The Maine Question
University of Maine research and education have ascended beyond Earth’s atmosphere since the 1990s. For example, UMaine scientists have tested the latest hypervelocity decelerators for NASA space travel and created a wireless leak detection system for the International Space Station. Through its latest inventions and studies, and scholarship and fellowship programs, UMaine plays a critical role in advancing the state’s space economy and training future leaders in the aerospace industry. But the university is far from reaching its final frontier.
In recent years, UMaine researchers have been developing the state’s first small research satellite with the University of Southern Maine …
Beyond The High Ground: A Taxonomy For Earth-Moon System Operations, Adam P. Wilmer, Robert A. Bettinger
Beyond The High Ground: A Taxonomy For Earth-Moon System Operations, Adam P. Wilmer, Robert A. Bettinger
Faculty Publications
Situational and space domain awareness in the space domain can no longer be confined to that which is found in geosynchronous orbit. International activities—commercial and military—and threats to the planet itself exist and are increasing across the entire Earth-Moon system. This reality requires a new taxonomy to accurately classify space domain awareness missions and better apply resources to and development of the same. This work presents such a taxonomy for the classification of space domain awareness regions.
Guiding A Human Follower With Interaction Forces: Implications On Physical Human-Robot Interaction, George L. Holmes, Keyri Moreno Bonnett, Amy Costa, Devin Michael Burns, Yun Seong Song
Guiding A Human Follower With Interaction Forces: Implications On Physical Human-Robot Interaction, George L. Holmes, Keyri Moreno Bonnett, Amy Costa, Devin Michael Burns, Yun Seong Song
Psychological Science Faculty Research & Creative Works
This work challenges the common assumption in physical human-robot interaction (pHRI) that the movement intention of a human user can be simply modeled with dynamic equations relating forces to movements, regardless of the user. Studies in physical human-human interaction (pHHI) suggest that interaction forces carry sophisticated information that reveals motor skills and roles in the partnership and even promotes adaptation and motor learning. In this view, simple force-displacement equations often used in pHRI studies may not be sufficient. To test this, this work measured and analyzed the interaction forces (F) between two humans as the leader guided the blindfolded follower …