{"688893":{"#nid":"688893","#data":{"type":"news","title":"Sheepdogs Reveal a Better Way to Guide Robot Swarms","body":[{"value":"\u003Cp\u003ESheepdogs, bred to control large groups of sheep in open fields, have demonstrated their skills in competitions dating back to the 1870s.\u003C\/p\u003E\u003Cp\u003EIn these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.\u003C\/p\u003E\u003Cp\u003EResearchers at the Georgia Institute of Technology studied how handler\u2013dog teams manage these unpredictable flocks in sheepdog trials and found principles that extend beyond livestock herding.\u003C\/p\u003E\u003Cp\u003EIn a \u003Ca href=\u0022https:\/\/www.science.org\/doi\/10.1126\/sciadv.adx6791\u0022\u003E\u003Cstrong\u003Estudy\u003C\/strong\u003E\u003C\/a\u003E published in \u003Cem\u003EScience Advances\u0026nbsp;\u003C\/em\u003Eas the cover feature, the researchers applied those insights to computer simulations showing how similar strategies could improve the control of robot swarms, autonomous vehicles, AI agents, and other networked systems where many machines must coordinate their actions despite uncertain conditions.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EGroup Movement Dynamics\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u201cBirds, bugs, fish, sheep, and many other organisms move in groups because it benefits individuals, including protection from predators,\u201d said \u003Ca href=\u0022https:\/\/bhamla.gatech.edu\/\u0022\u003E\u003Cstrong\u003ESaad Bhamla\u003C\/strong\u003E\u003C\/a\u003E, an associate professor in Georgia Tech\u2019s School of Chemical and Biomolecular Engineering. \u201cThe puzzle is that the \u2018group\u2019 is not a single organism. It is built from many individuals, each making local, imperfect decisions.\u201d\u003C\/p\u003E\u003Cp\u003EWhen a predator threatens a herd of sheep, individuals near the edge often move toward the center to reduce their own risk, Bhamla explained. \u201cThis is \u2018selfish herd\u2019 behavior,\u201d he said. \u201cShepherds exploit that instinct using trained dogs.\u201d\u003C\/p\u003E\u003Cp\u003EFrom examining hours of contest footage, the researchers found that controlling small groups of sheep can be harder than managing large ones. A larger group, with more sheep protected in the center, may behave more coherently than a small group as the animals constantly shift between two instincts: \u201cfollow the group\u201d and \u201cflee the dog.\u201d\u003C\/p\u003E\u003Cp\u003E\u201cThat switching behavior makes the group unpredictable,\u201d said Tuhin Chakrabortty, a former postdoctoral researcher in the Bhamla Lab who co-led the study.\u003C\/p\u003E\u003Cp\u003ELooking closely at how dogs and their handlers guide small groups, the researchers found that unpredictability in the flock\u2019s behavior does not always make control harder. \u201cUnder the right conditions, that \u2018noisy\u2019 behavior might actually be a benefit,\u201d Bhamla said.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESuccessful Sheep Herding\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESheepdog handlers categorize sheep by how strongly they respond to a dog\u2019s threatening pressure. Some very responsive sheep might panic under too much pressure, while others might ignore mild pressure and require stronger positioning by the dog.\u003C\/p\u003E\u003Cp\u003EThe researchers observed that successful control often followed a two-step pattern. First, the dog subtly influenced the sheep\u2019s orientation while the animals were mostly standing still. Once the flock was aligned in the desired direction, the dog increased pressure to trigger movement. The timing of those actions was critical, because alignment within a small group could disappear quickly as individuals switched between instincts.\u003C\/p\u003E\u003Cp\u003E\u201cIn our simulations, increasing pressure makes the flock reach the desired orientation faster, but how long the flock stays aligned is set mainly by noise,\u201d Chakrabortty said. \u201cIn essence, dogs can steer the direction, but they can\u2019t hold that decision indefinitely, so timing matters.\u201d\u003C\/p\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Cstrong\u003EDeveloping Computer Models\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ETo understand the broader implications of that behavior, the team developed computer models that captured how sheep respond both to the dog and to one another. The models allowed the researchers to test different strategies for guiding groups whose members make independent decisions under uncertainty.\u003C\/p\u003E\u003Cp\u003EThey then applied those ideas to simulations of robotic swarms. Engineers often design such systems so that each robot blends signals from all nearby robots before deciding how to move. While that approach works well when signals are clear, it can break down when information is noisy or conflicting, Bhamla explained.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003ETo explain why that switching strategy can work under noisy conditions, the researchers used an analogy of a smoke-filled room where only one person can see the exit, and no one knows who that person is. If everyone polls everyone else and averages the guesses, the one correct signal can get diluted by many noisy ones.\u003C\/p\u003E\u003Cp\u003E\u201cThat\u2019s the counterintuitive part. When only one person has the right information, averaging can wash out the signal. But if you follow one person at a time, and keep switching who that is, the right information can spread through the crowd,\u201d Bhamla said.\u003C\/p\u003E\u003Cp\u003EBuilding on that idea, the researchers tested a strategy inspired by the switching behavior they observed in sheep. In the simulations, each robot paid attention to just one source at a time (either a guiding signal or a neighboring robot) and switched that source from one step to the next.\u003C\/p\u003E\u003Cp\u003EUnder noisy conditions, this switching strategy required less effort to keep the group moving along a desired path than either averaging-based strategies or fixed leader-follower strategies.\u003C\/p\u003E\u003Cp\u003EThe researchers call their approach the Indecisive Swarm Algorithm. The name reflects a counterintuitive insight: allowing influence to shift among individuals over time can make groups easier to guide when conditions are uncertain.\u003C\/p\u003E\u003Cp\u003E\u201cOur findings suggest that the same dynamics that make small animal groups unpredictable may also offer new ways to control complex engineered systems,\u201d Bhamla said.\u003C\/p\u003E\u003Cp\u003ECITATION: Tuhin Chakrabortty and Saad Bhamla, \u201c\u003Ca href=\u0022https:\/\/www.science.org\/doi\/10.1126\/sciadv.adx6791\u0022\u003E\u003Cstrong\u003EControlling noisy herds: Temporal network restructuring improves control of indecisive collectives\u003C\/strong\u003E\u003C\/a\u003E,\u201d \u003Cem\u003EScience Advances\u003C\/em\u003E, 2026\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EThis research was funded in part by Schmidt Sciences as part of a \u003C\/em\u003E\u003Ca href=\u0022https:\/\/news.gatech.edu\/news\/2025\/09\/16\/saad-bhamla-named-2025-schmidt-polymath\u0022\u003E\u003Cem\u003ESchmidt Polymath\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E grant to Saad Bhamla.\u003C\/em\u003E\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers studying sheepdog trials found new principles for guiding unpredictable groups and used them to develop computer models that could improve coordination in robot swarms, autonomous vehicles, and other networked systems.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers studying sheepdog trials found new principles for guiding unpredictable groups and used them to develop computer models that could improve coordination in robot swarms, autonomous vehicles, and other networked systems."}],"uid":"27271","created_gmt":"2026-03-11 19:59:46","changed_gmt":"2026-03-12 15:53:25","author":"Brad Dixon","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-11T00:00:00-04:00","iso_date":"2026-03-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679589":{"id":"679589","type":"video","title":"SMART Dogs herding sheep on a farm, looks like flock of bird pattern","body":"\u003Cp\u003ESMART Dogs herding sheep on a farm, looks like flock of bird pattern\u003C\/p\u003E","created":"1773260200","gmt_created":"2026-03-11 20:16:40","changed":"1773260200","gmt_changed":"2026-03-11 20:16:40","video":{"youtube_id":"_CjwqIX6C2I","video_url":"https:\/\/youtu.be\/_CjwqIX6C2I?si=bfsxIT77-iAJCm-2"}},"679590":{"id":"679590","type":"video","title":"A dog herding sheep in a sheepdog trial","body":"\u003Cp\u003E\u003Cem\u003EA dog herding sheep in a sheepdog 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sheep","file":{"fid":"263762","name":"sheepdog1.jpg","image_path":"\/sites\/default\/files\/2026\/03\/11\/sheepdog1.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/11\/sheepdog1.jpg","mime":"image\/jpeg","size":226432,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/11\/sheepdog1.jpg?itok=sbHIPJIH"}},"679588":{"id":"679588","type":"image","title":"Sheeping herding resistant sheep","body":"\u003Cp\u003ESheepdogs first align the flock\u2019s direction, then apply pressure to trigger movement before the sheep lose alignment.\u003C\/p\u003E","created":"1773259967","gmt_created":"2026-03-11 20:12:47","changed":"1773261607","gmt_changed":"2026-03-11 20:40:07","alt":"Sheepdog herding 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