M. Lanssie
Papers
3
Total Citations
36
H-Index
2
About
M. Lanssie is a leading researcher in human-robot teaming, with a focus on computational methods for designing effective collaboration between humans and autonomous systems. Her work centers on developing objective, simulation-based frameworks to optimize how work and interaction are allocated within human-robot teams, particularly in high-stakes environments like space operations. Lanssie's major contributions include the creation of a three-phase computational methodology for making informed design decisions about work allocation, which explicitly accounts for real-world constraints and dependencies. She has also pioneered the use of simulation to model and evaluate the impact of robot failures on team performance, providing critical insights for building resilient human-robot teams. Her most cited work, "Computational Methodology for the Allocation of Work and Interaction in Human-Robot Teams" (28 citations), is a foundational paper in the field. Lanssie is also the driving force behind the "Work Models that Compute" (WMC) simulation framework, a powerful tool for the objective evaluation of function allocation that has been demonstrated in space EVA scenarios. Her research is essential for advancing the design of safe, efficient, and truly collaborative human-robot teams.
Research Focus
Key Achievements
Top Papers
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