Agility Robotics was granted a patent for robot object recognition.

{
  "signal_id": "69497acf-c246-5c1e-9c54-034ea835a859",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-17T19:54:43+00:00",
  "company": {
    "name": "Agility Robotics",
    "domain": "agilityrobotics.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G05B 19/4155"
      },
      {
        "code": "B25J 9/1671"
      },
      {
        "code": "B62D 57/032",
        "label": "Motor vehicles; trailers (steering)"
      },
      {
        "code": "G05B 2219/40244"
      },
      {
        "code": "G05B 2219/40269"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Robotics",
      "Artificial Intelligence"
    ],
    "detail": "In July 2026 Agility Robotics patented perception technology for mobile robots operating in unstructured environments such as warehouses and other dynamic workplaces.",
    "summary": "Agility Robotics was granted a patent for robot object recognition.",
    "event_at": "2026-07-14",
    "inventors": [
      {
        "name": "Yaadhav Raaj",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/yaadhavraaj"
      },
      {
        "name": "Juan Fernando Medrano Yax",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "event_kind": "grant_date",
    "grant_date": "2026-07-14",
    "source_url": "https://patents.google.com/patent/US12681459",
    "cpc_primary": {
      "code": "G05B 19/4155"
    },
    "patent_title": "Generating object references from perception data in unstructured environments and related technology",
    "patent_number": "US12681459",
    "uspto_assignee": "Agility Robotics, Inc.",
    "patent_abstract": "A method in accordance with a particular embodiment of the present technology includes receiving, at data-processing hardware operably associated with a mobile robot, perception data corresponding to an object in an environment of the mobile robot. The method further includes generating, by the data-processing hardware and based at least partially on the perception data, a feature reference corresponding to a feature of the object. The method also includes generating, by the data-processing hardware, candidate object references based at least partially on different respective alignments between the feature reference and a model of the object. The method also includes selecting, by the data-processing hardware, one of the candidate object references based at least partially on a result of evaluating the candidate object references for accuracy. Finally, the method includes controlling, by the data-processing hardware, the mobile robot based at least partially on the selected candidate object reference.",
    "precision_class": "structural",
    "invention_explanation": "A method that turns what a mobile robot senses about an object into reference points it can use to identify and interact with that object.",
    "technologies_mentioned": [
      "robot perception",
      "mobile robotics",
      "computer vision",
      "object recognition"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/69497acf-c246-5c1e-9c54-034ea835a859 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"agilityrobotics.com","limit":20}'