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Table · dataset · 2026

Will android astronomers dream of electric stars? An experiment in collaborative astronomical visual data exploration with a humanoid robot

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<p dir="ltr">Astronomy is in an era of data-driven discovery, where much of the information collected and generated will never be examined directly by human researchers.

Description

As a component of data exploration and discovery, artificial intelligence is changing the way we think about scientific collaboration; however, work to date has almost exclusively considered non-embodied algorithms running on a computer. In this work, we report on an experimental study involving a visual data exploration activity, mediated via a large-format display, where a humanoid robot shares the physical environment with humans.

Throughout, we used role-playing and reflective practices to characterise and compare human--human collaborative visual discovery processes with those arising between humans and robots. Across three sessions, we moved from familiarisation with a Unitree G1 humanoid robot to working alongside a new sensemaking collaborator, Roci. While Roci's ontological agency was low, requiring teleoperation throughout for locomotion and gesturing, his phenomenological agency was high: we accepted Roci as a collaborator whose actions were perceived as intentional.

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Our study highlights four complementary roles for humanoid robots in visual data exploration: (1) the Assistant, responding to requests for information or to perform research activities; (2) the Educator, patiently explaining and demonstrating to a novice how to complete a visual exploration task; (3) the Proxy, standing in for an absent collaborator to provide continuity in the data exploration process; and (4) the Collaborator, where the robot attains equal status in a human-robot team, performing discovery tasks and contributing to the development of knowledge.

As humanoid robots continue to become more accessible and affordable, we see a pathway for robots to start to play a range of roles in astronomy that were not envisaged previously. The future of human-robot collaborative visual data exploration in astronomy starts here.</p>

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Astronomical sciences 73%
Provenance · 1 source records, 16 field assertions
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