SLAM Robotics
Simultaneous localization and mapping methods that let robots build maps while estimating their own position.
Core metadata
- ID: slam_robotics
- Era: Modern
- First known date: 1983 (decade)
- Region: Global / multiple regions
- Review status: source_checked
- Maturity: established
Prerequisites
- Algorithms & Computation Theory (algorithms_computation_theory)
- Computer Vision (computer_vision)
- Mobile Robot Navigation (mobile_robot_navigation)
Dependents
- None.
Fields
Field lanes
- Robotics & Autonomous Systems: Mobility & Navigation
Node sources
- Robotics (NIST, 2026, official_agency) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 3
- Average edge confidence: 68%
- Prerequisite sources: 3
- expert_inference: 3
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Mobile Robot Navigation (mobile_robot_navigation) | enabling | 68% | expert_inference | Mobile Robot Navigation provides a capability that enables this technology without being the only possible path. |
|
| Computer Vision (computer_vision) | enabling | 68% | expert_inference | Computer vision enables camera-based SLAM and visual feature tracking, while broader SLAM can also use non-visual sensors. |
|
| Algorithms & Computation Theory (algorithms_computation_theory) | enabling | 68% | expert_inference | Algorithms & Computation Theory provides a capability that enables this technology without being the only possible path. |
|
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