A human-in-the-loop Pareto optimization framework characterizes trade-offs between performance and challenge in assist-as-needed motor training, enabling protocol design and fair evaluation even when users cannot complete tasks unaided.
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Human-in-the-Loop Pareto Optimization: Trade-off Characterization for Assist-as-Needed Training and Performance Evaluation
A human-in-the-loop Pareto optimization framework characterizes trade-offs between performance and challenge in assist-as-needed motor training, enabling protocol design and fair evaluation even when users cannot complete tasks unaided.