Differentiable SpaTiaL is the first fully tensorized, end-to-end differentiable symbolic spatio-temporal logic framework that enables gradient-based trajectory optimization and parameter learning for robotic manipulation under geometric and temporal constraints.
Conformalized signal temporal logic inference under covariate shift
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Human-to-robot transfer learning with conformal prediction improves robot assembly action segmentation Edit score from 70.50 to 80.70 using only 16 robot demonstrations.
citing papers explorer
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Differentiable SpaTiaL: Symbolic Learning and Reasoning with Geometric Temporal Logic for Manipulation Tasks
Differentiable SpaTiaL is the first fully tensorized, end-to-end differentiable symbolic spatio-temporal logic framework that enables gradient-based trajectory optimization and parameter learning for robotic manipulation under geometric and temporal constraints.
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Uncertainty-Aware Intention Prediction for Human-to-Robot Assembly Teleoperation
Human-to-robot transfer learning with conformal prediction improves robot assembly action segmentation Edit score from 70.50 to 80.70 using only 16 robot demonstrations.