Emergent Cooperative Thermoregulation in Lunar Swarm Robotics
Overview
This research explores how a swarm of 20 lunar robots can survive the extreme cold of the lunar night by collectively regulating temperature through emergent behavior, inspired by penguin huddling. A single reinforcement learning policy enables the swarm to aggregate and circulate between sheltered and exposed areas, achieving survival with 37% less energy than a motionless huddle.
From arXiv Robotics — research abstracts
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · stored energy per robot: 155.6 other · Basis not reported · Differing source assertions
“egates, and robots circulate between the sheltered core and the exposed rim, the same pair of behaviors with which emperor penguins survive the Antarctic winter. We measure the survival threshold, the smallest stored energy per robot at which every robot is still alive at sunrise. Across ten runs it is 155.6 +/- 1.3 pcm-h, where one pcm-h is 7.2 kJ of stored heat. That is 37% below a motionless huddle and within 13%”
Exact source · revision 1Source owner not reported
Reported quantity · stored energy per robot: 1.3 other · Basis not reported · Differing source assertions
“egates, and robots circulate between the sheltered core and the exposed rim, the same pair of behaviors with which emperor penguins survive the Antarctic winter. We measure the survival threshold, the smallest stored energy per robot at which every robot is still alive at sunrise. Across ten runs it is 155.6 +/- 1.3 pcm-h, where one pcm-h is 7.2 kJ of stored heat. That is 37% below a motionless huddle and within 13%”
Exact source · revision 1Source owner not reported
Reported quantity · pcm-h: 7.2 other · Basis not reported
“egates, and robots circulate between the sheltered core and the exposed rim, the same pair of behaviors with which emperor penguins survive the Antarctic winter. We measure the survival threshold, the smallest stored energy per robot at which every robot is still alive at sunrise. Across ten runs it is 155.6 +/- 1.3 pcm-h, where one pcm-h is 7.2 kJ of stored heat. That is 37% below a motionless huddle and within 13%”
Exact source · revision 1Source owner not reported
Reported quantity · Robot count: 20 robots · Basis not reported
“ther a swarm can instead use its own members as thermal shielding. We train one policy, shared by all twenty robots, by reinforcement learning with an evolution-strategies estimator. The policy receives a single reward, once, at the end of the night: the mean temperature of the five coldest robots. Nothing in that reward refers to position, spacing, exposure or motion. Two behaviors nonetheless emerge. The swarm aggr”
Exact source · revision 1Source owner not reported
Reported quantity · robots: 40 other · Basis not reported
“of a physics-based lower bound, and at a budget where the motionless huddle loses six robots, every robot survives. The behavior needs no shared spatial reference and no robot-robot contact, and transfers from twenty robots to forty without retraining.”
Exact source · revision 1Source owner not reported
Evidence dependency changes (2)
- 2026-10-30T20:08:11.326Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T20:07:54.866Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalEmergent Cooperative Thermoregulation in Lunar Swarm Robotics
This research explores how a swarm of 20 lunar robots can survive the extreme cold of the lunar night by collectively regulating temperature through emergent behavior, inspired by penguin huddling. A single reinforcement learning policy enables the swarm to aggregate and circulate between sheltered and exposed areas, achieving survival with 37% less energy than a motionless huddle.
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