{"schemaVersion":"1.0","generatedFrom":"https://brightaifuture.com/discoveries/clearbot","record":{"id":"clearbot","headline":"A boat that notices what it collects.","canonicalUrl":"https://brightaifuture.com/discoveries/clearbot","datePublished":"2026-09-09","dateModified":null,"sourcePublicationDate":"2024-10-17","author":null,"publisher":{"name":"Bright AI Future","url":"https://brightaifuture.com/"},"topics":["robotics"],"summary":"Clearbot uses electric boats and computer vision for waterway waste collection, as described in NVIDIA’s field report.","evidenceState":"Deployed","keyFacts":[{"label":"AI’s role","value":"Cameras and models support navigation, obstacle avoidance and waste identification."},{"label":"Documented result","value":"The report describes boats working in Hong Kong and India using NVIDIA Jetson."},{"label":"Important limitation","value":"Collected waste is not proof of ecosystem recovery. Lifecycle emissions and broad environmental effects are not established here."}],"limitations":["Collected waste is not proof of ecosystem recovery. Lifecycle emissions and broad environmental effects are not established here."],"evidenceLinks":[{"title":"NVIDIA: Clearbot waterway cleanup report","url":"https://blogs.nvidia.com/blog/clearbot-autonomously-cleans-ai/","type":"institution"}],"evidencePackUrl":"https://brightaifuture.com/evidence-pack/clearbot","embedUrl":"https://brightaifuture.com/embed/story/clearbot","attribution":{"credit":"Bright AI Future","requirements":["Link to the canonical Bright record.","Keep material limitations with the claim they qualify.","Link to the original evidence when repeating a substantive claim.","Do not describe a source check or organization-reported result as independent verification."],"sourceRights":"Linked source material, quotations, trademarks and media remain subject to their owners’ terms. No reuse right is granted for third-party media."}},"claim":{"humanProblem":"Floating waste damages waterways that communities use and depend on.","priorConstraint":"Cleanup requires locating, collecting and understanding the waste.","aiRole":"Cameras and models support navigation, obstacle avoidance and waste identification.","documentedResult":"The report describes boats working in Hong Kong and India using NVIDIA Jetson.","whyItMayMatter":"Collection records may help people trace recurring pollution.","unresolvedQuestions":["Does collection lead to less pollution entering the water over time?"]},"evidenceAssessment":{"state":"Deployed","claimConfidence":"unassessed","reviewState":"approved","reviewMethod":"ai-assisted","reviewNote":"AI-assisted comparison with the linked primary source. The cited accounts are published by the organizations involved and are not independent verification. No expert or clinical review is claimed.","lastSourceReview":"2026-09-09","independentVerification":"not-established-by-this-source-review"},"sources":[{"id":"source:clearbot","title":"NVIDIA: Clearbot waterway cleanup report","url":"https://blogs.nvidia.com/blog/clearbot-autonomously-cleans-ai/","type":"institution"}],"revisions":[{"id":"revision:0df3824103f1e9d2bb62","recordedAt":"2026-09-09","summary":"Added to Bright as a bounded source claim with visible evidence distinctions.","sourceIds":["source:clearbot"]}],"corrections":[]}