Andi Peng

schoolMassachusetts Institute of Technologybar_chart#9939 Global Rank

Total Papers

HCI Rank

#9939

Research Areas

Years Active

Recent Publications

Preference-Conditioned Language-Guided Abstraction

Learning from demonstrations is a common paradigm for users to teach robots but is prone to spurious feature correlations. Recent work constructs state abstractions, i.e. visual representations containing only task-relevant features, from language as a way to perform more generalizable learning. However, these abstrac…

HRI '242nd AuthorAI-Assisted Decision-Making & Automation +1

Aligning Human and Robot Representations

To act in the world, robots rely on a representation of salient task aspects: for example, to carry a coffee mug, a robot may consider movement efficiency or mug orientation in its behaviour. However, if we want robots to act for and with people, their representations must not be just functional but also reflective of…

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