DOE · DOE-435 · record R3313
Spot for automated sensing, inspection, and capture
Department of Energy · PNNL - Pacific Northwest National Laboratory (SC43 OIM)
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Does not meet any requiremnts for high Impact use case
- Start date
- 2024-10-01 (day precision)Source: 2024-10-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Science
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Conduct automated sensing, inspection, and data capture in challenging environments with robots.
Expected benefits
Spot, a mobile robot, can navigate hazardous or hard-to-reach areas to perform inspections and gather precise data with its advanced sensors and cameras.
System outputs
Improving efficiency, and the accuracy of sensor research data.
Technology
- AI classification
- Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
- System name(s)
- R&D User
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Boston Dynamics
- Vendors (standardized)
- Boston Dynamics
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- No
- Federal Data Catalog
- No
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported