Projects
Human Control Models
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Driver modeling and identification for haptic shared control
Parsimonious and identifiable driver models for online identification and interface adaptation.
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Modeling human use of preview information
Measuring and modeling how humans use preview information of a trajectory to follow for anticipation or feedforward control.
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Modeling perceived motion incongruence
Quantitative data-driven perception modeling that separates effects of different types of cueing errors in different axes.
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Feedforward in manual control
Developing models for how humans rely on feedforward control responses in realistic discrete maneuvering tasks.
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Human multi-channel control with visual and motion feedback
Identifying and modeling how humans use visual and physical motion feedback for control.
Human Control Identification
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Time-varying human control identification
Developing methods for quantitative modeling of time-varying changes in human control behavior.
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Objective model selection for human control identification
Data-driven and assumption-free selection of the optimal human control model structure and response dynamics.
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Identification of nonlinear human motion perception thresholds
Determining motion perception thresholds from active control task data using multi-channel human control modeling.
Applications
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Driving simulator motion cueing optimization
Optimizing driving simulator motion cueing for different motion systems.
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Cybernetics of touchscreen operation on the flightdeck
Quantitative analysis of touchscreen operation in a moving and vibrating environment.
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Visual and haptic augmentation for simulator-based pilot training
Proving enhanced training effectiveness by going beyond realism in training simulators.
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Quantifying loss of motor skills in neurological diseases
Detailed and quantitative measurement of lost motor skills in neurological diseases such as Parkinson’s using human control modeling. Neurological disorders, s...
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A framework to quantify rotorcraft flight simulator motion fidelity
Improving the match between helicopter flight dynamics and simulator cueing.
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Limits of human adaptation to added and modified aircraft dynamics
A cybernetic analysis of the limitations on human control adaptation due to changes in controlled dynamics.
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Cybernetics of training and skill transfer
Quantitative analysis of manual control skill acquisition, retention, and transfer.
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Flight simulator motion cueing fidelity assessment
Quantitative and objective evaluation of the effect of degraded simulator motion cueing fidelity on pilot control behavior.
Engineering
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Aircraft stall model identification
Identifying high-fidelity stall dynamics models from stall flight test data.
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Sensor-based control of hydraulic simulator motion systems
Improving the accuracy of hydraulic hexapod flight simulator motion system, in existence of parameter uncertainties and external disturbances. For current high perf...
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Sensor fusion and state reconstruction for moving-base flight simulators
Improved measurements of simulation motion states by combining data from multiple sensors.