Programme-Controlled Manipulator TRIZ Cases

See how a robot cleaner uses image-based room-specific feature distributions to re-localize aft

See how a server-mediated control method enables cleaning robots to share progress data and dyn

See how soft robotic actuators use embedded fluid channels and elastomeric bodies to achieve ra

See how mobility-aware threshold adjustment and guarded-ring shielding reduce spurious capaciti

See how slanted rotating pad assemblies generate nonuniform frictional force to enable robot cl

Multiple dust sensors let the cleaner detect dirty zones and adjust speed and suction for thorough cleaning with lower energy use.

Abnormal sound detection triggers directional imaging and selective transmission, cutting robot cleaner power use while preserving monitoring.

Capacitive bumper sensors measure displacement instead of binary contact, helping mobile robots detect force and location to avoid getting stuck.

Floor imaging and image processing let the robot detect dust beyond its normal path, then reroute for targeted cleaning.

Starting-position detection lets the cleaner switch from charger-based auto mode to local spot cleaning, removing dust at its current location.

A dual-rod gripper with rotating-lifting and planar motion automates yarn cheese handling in dyeing cages, improving efficiency and working conditions.

A cleaning robot maps rooms and recognizes electric devices automatically, reducing manual setup for home monitoring and energy control.

A cross-shaped optical pattern and convex-cell lens improve mobile robot distance sensing and reliable cliff detection on uneven floors.

When pose confidence drops, the robot re-finds known obstacle path segments to correct odometry drift and keep maps accurate.

By reflecting detection signals from real-time imaging and user input, this case steers robot cleaners around obstructions to expand cleaning coverage.

A bottom-mounted depth sensor detects lifted, tilted, and edge-bordering states so robots can stop, warn users, or adjust motion safely.

Laterally protruding magnetic contacts enable horizontal self-docking, automatic charging, and signal exchange for autonomous robots.

Voice commands and user gestures let a cleaning robot set restricted and focused cleaning areas without manual setup or entry-prevention tape.

Tilting rotating pad assemblies create nonuniform floor friction, enabling omnidirectional travel and stronger cleaning action in complex layouts.

A two-stage liftable chair uses load detection to support standing up while preserving user muscle use and reducing fear.

Image-based hand tracking lets a cleaning robot follow user intent for targeted cleaning while reducing manual effort and setup.

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

Stored obstacle points and Y-axis turning-point logic shorten robot walking paths and reduce repetitive obstacle avoidance.

A primary robot maps inaccessible zones and deploys smaller secondary robots to clean under tables and in narrow aisles autonomously.

A gripping unit and force-applying blower separate entwined clothes in the washing tub, reducing manual laundry sorting and folding work.

A robot learns a demonstrated route from an initialization object, then uses camera and odometry data to repeat it autonomously.

Existing household appliances act as wireless interfaces for robotic vacuums, cutting extra hardware cost and simplifying status display.

A monitoring camera detects and locates dropped garbage, then guides the robot for timely, precise clearing with less unnecessary work.

A controller retracts side brushes before obstacle-tracing turns, preventing jams while preserving edge cleaning and low-battery operation.

Multiple robots avoid overlapping cleaning paths by switching control algorithms based on nearby robot information.

Tilting a user terminal steers the robot cleaner directly, avoiding constant screen checks while keeping movement control intuitive.

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

Extendable auxiliary brushes deploy during wall tracing and retract in open areas to improve edge coverage without wasting cleaning time.

An inward spiral path keeps the side brush facing the outer edge, helping a robotic vacuum clean corners neatly with less double cleaning.

Timed left-right beacon signals guide a robot vacuum to its charger with simpler signal generation, lower power use, and less interference.

Capacitive, Hall, or inductive bumper sensing replaces binary switches to detect contact location, force, and duration for better robot navigation.

Optical dust sensing triggers automatic dust-box discharge with airflow and rotating brushes, helping robot cleaners maintain cleaning performance.

A remote controller projects visible light and modulated infrared so a cleaning robot can find and follow a target spot, even under furniture.

Robotic drivetrain and actuator control reconfigure micro-unit furniture to switch between sleeping, storage, work, and entertainment modes.

A portable indicator with notch markers, laser alignment, and camera verification helps workers set modular shelves to the correct planned height.

By detecting whether cleaning starts at the charger or elsewhere, the robot switches to spot cleaning first to remove dust at its current location.

Sensors detect contaminated data center zones and dispatch mobile filters there, improving air quality while avoiding wasted filtration resources.

Embedded fluid channels pressurize elastomeric actuators to create radial deflection, improving mobility and surface interaction in tight spaces.

NFC-delivered AP data enables secure Wi-Fi pairing, remote control, and cleaning history visualization without extra devices.

Concentric inflatable channels in an elastomeric actuator enable radial deflection, giving soft robots more adaptable motion and gripping.

Structured light distance drift is detected by comparing landmark estimates with dead reckoning after contact, enabling self-calibration.

Handle load feedback synchronizes robot assistance and seat inclination speed to reduce user burden during chair stand-up motion.

Camera images let a robot cleaner identify foreign substances and get remote clean-or-avoid instructions to prevent smearing toys or pet waste.

A locking actuator secures the robot walking mechanism after docking to prevent electrode separation and charging failure.