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Why humanoid robot demos still fail the generalization test

How better data and human judgment can help robots move beyond demos toward reliable real-world performance. The post Why humanoid robot demos still fail the generalization test appeared first on The Robot Report.

Why humanoid robot demos still fail the generalization test

Published October 9, 2026 · Category: Robotics

Overview

The Robot Report Podcast · Why humanoid robot demos still fail the generalization test
Headshot of Jeanine Sinanan-Singh.

Jeanine Sinanan-Singh, director of GenAI research at Appen.

In Episode 265 of The Robot Report Podcast, our guest is Jeanine Sinanan-Singh, director of generative AI Research at Appen. She discusses the continuing importance of humans in the loop for training robots.

Sinanan-Singh works on agentic evals, RL environments, and dataset design for post-training frontier AI models. She also explains why impressive demonstrations don’t necessarily prove that robotic behavior can be generalized.

Sinanan-Singh previously founded a pharmacy automation startup built on a 3D-printing platform to manufacture personalized medications. A Harvard graduate with prior experience at Microsoft and Surge, she is a frequent voice on AI evaluation and reasoning.


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The post Why humanoid robot demos still fail the generalization test appeared first on The Robot Report.

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