Optical Cliff and Wall Detection for an Autonomous Cleaning Robot
US 6,594,844Intersecting Emitter and Detector Fields for Surface-Height and Wall Sensing
Listen to the narrated mechanical breakdown and civilizational context
How It Works: Step-by-Step Mechanical & Physical Breakdown
The emitter's optical power occupies a defined field of emission and the detector accepts photons only within its field of view. Their intersection is the measurement region. With a downward sensor, normal floor overlap produces a reflected, modulated signal; when a stair or too-high/low obstacle removes the floor from that region, the circuit emits an avoidance command. With wall optics, a reflected signal marks the wall and the control logic turns away, then back toward it through decreasing radii of curvature. The grant specifies the optical feedback architecture, not a particular spiral path or random-number algorithm.
Interactive Real-Time Physical Simulation
Drag to rotate · Pinch to zoom · Shared controls update the displayed modelDetailed Component Architecture
1Finite Optical Intersection
The source geometry uses the overlap of two fields rather than a raw brightness threshold: . A nominal floor or wall occupies R; a changed height or boundary removes it and changes the detector output.
2Modulated Infrared Sensor
The preferred embodiment modulates the infrared emitter at several kilohertz and tunes the detector to that frequency. The detector circuit amplifies, rectifies, and thresholds the selected-band signal before sending a logic output to the robot controller.
3Wall Reacquisition Logic
The controller uses the detector state as feedback. When the wall occupies the intersection region it turns away; after the wall leaves, it turns back toward the wall and decreases the radius of curvature until reflection returns. This is a bounded geometric behavior, not a claim to statistical floor coverage.
Governing Equations & Engineering Principles
Finite Emitter / Detector Intersection & Redirect Condition
Optical Obstacle DetectionClaim 1Finite Optical Test Region
The claim makes this finite overlap region the place where the circuit tests for the expected floor, wall, or obstacle surface.
US 6,594,844 claims the optical geometry and its redirect circuit. The surrounding room path is useful context but is not presented as a patented global-coverage law.
Historical Context: The grant makes a low-cost finite optical intersection do the obstacle discrimination that more elaborate ranging hardware would otherwise perform.
Interactive Schematic Sheet (Fig. 1)
FIG. 1 is the source schematic of robot 10 approaching downward stair 12.
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Click pins on the schematic or select from the list below to inspect historical specifications.
Why It Still Matters
The durable lesson is source-bounded sensor design: an inexpensive emitter, detector, collimator, modulation circuit, and explicit control response can handle stairs and room boundaries without sonar or a global map. Later domestic robots may add lidar, cameras, or learned maps, but this patent's optical overlap and wall-reacquisition ideas remain legible as a low-cost safety and boundary-sensing pattern.
Legal Claims Decoder (20 Numbered Claims)
The Historical Bottleneck
Why Prior Art Failed
- •Sonar obstacle and wall sensors described as too complex or expensive for a battery-operated cleaning robot
- •Tactile sensors described as inefficient for reliable obstacle and wall detection
- •Single intensity thresholds confounded by surface reflectivity and specular scattering
Patent Wars & Legal Litigations
- The specification gives a preferred cliff-sensor geometry with 22 mm by 53 mm housing dimensions, 3 mm collimator tubes, a 60° tube angle, and a 29.00 mm intersection region.
- For wall detection it describes parallel-to-floor optical axes intersecting at about 80° and a volume approximately 2.6 inches ahead of the robot shell when travelling parallel to a wall.
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Optical Cliff and Wall Detection for an Autonomous Cleaning Robot
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