Ruchira Ray — accepted AI-conference papers

2026

CAVER: Curious AudioVisual Exploring Robot

Luca Macesanu, Boueny Folefack, Ruchira Ray, Ben Abbatematteo, Roberto Martín-Martín

ICRA 2026poster

Multimodal audiovisual perception can enable new avenues for robotic manipulation, from better material classification to the imitation of demonstrations for which only audio signals are available (e.g., playing a tune by ear). However, to unlock such multimodal potential, robots need to learn the c…

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2026

Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation

Albert Yu, Chengshu Li, Luca Macesanu, Arnav Balaji, Ruchira Ray, Raymond Mooney +1

ICRA 2026poster

Effective robotic systems for long-horizon human-robot collaboration must adapt to a wide range of human partners, whose physical behavior, willingness to assist, and understanding of the robot's capabilities may change over time. This demands a tightly coupled communication loop that grants both ag…

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