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Emma Dixon

2 accepted papers

2025

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

RSS 2025poster

Recent years have witnessed impressive robotic manipulation systems driven by advances in imitation learning and generative modeling, such as diffusion- and flow-based approaches. As robot policy performance increases, so does the complexity and time horizon of achievable tasks, inducing unexpected…

Cited by 1PDFScholar
2025

Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping

RSS 2025poster

Imitation learning has enabled robots to perform complex, long-horizon tasks in challenging dexterous manipulation settings. As new methods are developed, they must be rigorously evaluated and compared against corresponding baselines through repeated evaluation trials. However, policy comparison is…

Cited by 1PDFScholar