Programme-Controlled Manipulator TRIZ Cases

Camera, voice, and cloud-guided setup lets a mobile robot find the user, capture face data, and simplify network access and sharing.

Using two visual markers and mobile terminal sensors, this case locates a robot cleaner relative to the user for intuitive zone and path control.

A spring-biased side brush extends cleaning reach, then retreats on obstacle contact to prevent snagging and maintain smooth robot vacuum travel.

Obstacle-triggered side brush retraction during robot turning preserves edge cleaning while reducing brush jamming near obstacles.

Three-axis inductive sensing improves robotic mower boundary wire detection on slopes and oblique approaches for steadier navigation.

A sealed steam-brush-suction head cleans refrigerated walls and ceilings with less water, no chemicals, and reduced ladder risk.

A dual-emitter, downward-looking sensor bounds the detection zone to spot dark chair legs early and slow the robot before contact.

Sensors detect contaminated zones and dispatch mobile filters only where needed, improving data center air quality while avoiding wasted energy.

A light shielding portion blocks window-surface reflections, helping robot cleaners avoid false obstacle sensing and detect nearby objects accurately.

Wall detection and contact-signal control let a robot cleaner stay aligned to walls and clean edge gaps without reversing after contact.

Tilt signals from a user terminal steer the robot cleaner, avoiding screen checks and simplifying real-time movement control.

Image-based hand tracking lets a cleaning robot follow user intent for selective cleaning, reducing labor and avoiding virtual wall beacons.

Recorded obstacle coordinates let a self-moving robot find turning points, avoid repeated detours, and keep traversal paths concise.

By comparing tilt angles before and during obstacle crossing, the controller preserves mapping accuracy and improves robot vacuum navigation on rugs and steps.

A transparent extruded cover shields the robot cleaner position sensor from dust while preserving light paths for more accurate obstacle detection.

Automatic battery switchover, downward movement, and obstacle sensing help a glass cleaning robot avoid falling during power outages.

Geometric filtering separates direct and reflected light patterns, improving robot cleaner mapping and obstacle detection accuracy.

Clean-air downflow through the robot base suppresses particle dispersion during lift motion, helping keep semiconductor wafers clean.

Air circulation, suction, and rotating brush rollers clear dust from the robot cleaner dust box automatically to sustain cleaning performance.

A ventilated leg link uses convection, airflow paths, and optional fans to cool onboard electronics and keep heat away from the user.

Signal transmission and feedback verification let a robot confirm docking success and recharge automatically without manual intervention.

Motor current sensing triggers edge brush reversal so a coverage robot can unwind cords and keep cleaning around obstacles autonomously.

Two mirrored motors mounted on the portal balance traction, simplify transmission and wiring, and make sheet cutting machines easier to reconfigure.

Motor current monitoring reverses the edge cleaning head during entanglement while the robot slows near obstacles and keeps cleaning.

Start-position detection lets the robot cleaner trigger spot cleaning outside the charger, then switch to standard automatic coverage.

Independent wheel, cleaning, battery, and bin modules improve robot serviceability, cut repair waste, and extend operating life.

Partial-map optical navigation and modular cartridges let one robot switch tasks, dock reliably, and reduce manual consumable handling.

A dual-map approach lets a mobile robot build feature and path maps while cleaning, cutting time and improving navigation accuracy.

An inflatable reservoir and lift cylinder balance different load weights with simple pressure adjustment and controlled air release for safer handling.

An integrated patient table and over-table robot arm improves stiffness and positioning while keeping the surgical workspace unobstructed.

Switching from random to parallel scanning helps an autonomous lawn robot pass narrow areas, avoid obstacles, and maintain full coverage.

Multiple inductive sensors at different angles improve robotic mower boundary detection on slopes and oblique approaches.

A picking arm and spoon arm work together to handle sticky rice and varied tray foods, giving users more independent feeding control.

Airflow and rotating brushes empty the robot cleaner dust box at a maintenance station, preserving cleaning performance with less manual upkeep.

A handheld remote loads schedules and control signals into a robotic cleaner, enabling autonomous operation without user presence or on-device input.

Manual region setting lets a robot cleaner repeatedly clean a chosen area without ceiling marks or laser points, reducing cost and malfunctions.

Motor current monitoring triggers brief cleaning head reversal, freeing cords while the coverage robot keeps moving and cleaning.

When cleaning starts away from the charger, the robot switches to spot cleaning first, then resumes automatic coverage to remove dust at its current position.

A synchronized mobile platform follows user speed and direction to improve wearable robot mobility and upper-limb operability.

Feature-point image mapping lets a mobile robot correct position drift at region boundaries and avoid repeated cleaning through closed-loop paths.

A camera-equipped robot cleaner follows and monitors an elderly person, switching between cleaning and care modes for real-time checks.

Adaptive boundary-wire current control maintains magnetic field detection while cutting power use and limiting interference from nearby systems.