Algorithms on Display
(See the original demos announcement at the link). We have added more algorithms to the website to try out and tweak.
View series(See the original demos announcement at the link).
28-Jun-2026
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(See the original demos announcement at the link). We have added more algorithms to the website to try out and tweak.
View seriesOver this 7-part series, we’ve explored how natural systems — ants, bees, birds, and brains — solve problems through emergence, not instruction.
View seriesadaptive-emergent now has a more focussed direction. Part one of this series looked at the history from 2015 to 2021; Part two explained why adappt.
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A recent patent landscape analysis highlights how biologically inspired swarm coordination methods are being displaced in some military and industrial drone systems by multi-agent reinforcement learning, while still influencing routing, resilience, and distributed control architectures. The report focuses on commercially defensible IP around heterogeneous autonomous swarms combining aerial drones, ground robots, and satellite systems.
09-May-2026
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Interspecies communication networks about threats can shape animal communities, as many species produce alarm calls while eavesdropping on those of others, resulting in information flow crossing ecological niches and taxonomic boundaries. Some species contribute disproportionately to these networks by being particularly vigilant, accurate in predator detection, and consistent in alarm call production.
09-May-2026
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Worcester Polytechnic Institute researchers developed a bat-inspired sensing and navigation system that allows palm-sized drones to move through smoke, fog, and visually degraded environments using ultrasound and lightweight onboard AI. The approach mimics echolocation strategies used by bats rather than relying on heavy lidar or camera stacks.
09-May-2026
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A drone coordination stack using stigmergy-inspired signaling enables distributed inspection coverage across large industrial assets. Each drone adapts locally to coverage gaps and environmental conditions without centralized orchestration.
08-May-2026
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Robot swarms are beginning to shift from pre-programmed coordination toward AI-enabled collective autonomy, allowing groups of machines to adapt dynamically without centralized control. The approach mirrors biological swarm organization and collective decision-making.
07-May-2026
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Researchers evaluated ant-inspired robotic coordination strategies for autonomous mining operations, including distributed task allocation and tandem partitioning approaches. The work focuses on improving efficiency and resilience in hazardous industrial environments. Three swarm robotic strategies are explored for mine automation: Baseline (immediate return), Ant (tandem partitioning) and Honeybee (memory-retrieval), implemented on the Pololu Zumo 2040 robot platform.
07-May-2026
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The Biomimicry Institute has launched a new podcast exploring how biological strategies are translated into engineering and design applications. The series highlights practical pathways from natural systems to real-world technologies.
06-May-2026
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A lightweight butterfly-inspired robot achieves fully autonomous flapping-wing flight using bio-inspired control of wing motion and body dynamics. The system operates without tails or external stabilization.
04-May-2026
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Recent patent analysis shows autonomous underwater systems rapidly evolving toward coordinated swarms and cross-domain teams combining aerial, surface, and underwater vehicles. These systems emphasize distributed sensing, communication, and adaptive task allocation.
03-May-2026
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Hullbot’s autonomous in-water hull-cleaning system was recognised by Good Design Australia as a commercial and industrial product for 2025. The robot is designed for scheduled hull maintenance without drydocking, reducing biofouling-related drag while avoiding manual diver exposure and toxic anti-fouling practices.
26-Apr-2026
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