Reality and Perceptual Gaps in Expressive Swarm Robotics
Reality and Perceptual Gaps in Expressive Swarm Robotics
This research investigates the challenges of deploying decentralized robot swarms from simulation to physical environments across tabletop, aerial, and human-scale platforms.
The study demonstrates that transferring decentralized swarm coordination code to physical hardware introduces significant reality gaps in motion dynamics and perceptual interpretation, which are not resolved by algorithmic stability alone.
Source: arXiv Robotics — research abstracts · Read original article ↗
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cally does and what human onlookers actually perceive. This study examines the same decentralised coordination code deployed across three robotic swarms-tabletop, aerial and human-scale mobile manipulators-during live artistic performances. We find that while the underlying algorithms executed reliably on all three platforms, physical embodiment drastically altered visible motion-distorting execution timescales by mo
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re than a factor of three and reshaping trajectory geometry. More importantly, audience surveys revealed that human interpretation does not mirror technical success: how observers attribute meaning (perceived purpose) and how they react emotionally (comfort versus threat) depend heavily on physical form. Meaning attribution and emotional responses did not vary together. Our results demonstrate that successfully trans
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Reality and Perceptual Gaps in Expressive Swarm Robotics
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arXiv:2611.05244v2 Announce Type: replace Abstract: Moving robot swarms from simulation into the physical world can be difficult because small discrepancies in hardware, timing and communication can cascade across interacting robots and alter group behaviour. This challenge is known as the reality gap. When swarms operate in human environments, a second challenge emerges: a perceptual gap between what the swarm physi
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ferring swarm software to physical hardware is insufficient for real-world deployment. Addressing the reality gap does not guarantee that the resulting collective motion will be readily interpreted by human observers. Swarms destined for human environments must be engineered not only for decentralised stability but also for the expressive physical dynamics through which humans interpret collective motion.
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Source：arXiv Robotics — research abstracts · arxiv.org