Automatic Obstacle Detection TRIZ Cases

See how a connecting element merges robot and handheld cleaning devices, reducing maintenance e

See how a universal base unit with detachable work modules adapts movement parameters to each c

See how obstacle length detection and dynamic path adjustment prevent rear cleaning assembly co

See how a walking robot bypasses to multiple positions around an obstacle to collect diverse vi

See how a first replacement mechanism with guide connecting structures enables automated loadin

See how sensor data and machine learning enable a sanitation robot to score contamination risk,

See how a divider between emitter and detector absorbs reflected signals from the displaceable

See how a docking station with pad receptacle and dispenser enables autonomous pad replacement,

See how adaptive threshold calibration during travel windows compensates for debris accumulatio

See how spatial distribution analysis and normal distribution transformation remove phantom poi

See how a mop support portion increases frictional force at the cleaner's center, ensuring cons

See how dual light sources and image sensors distinguish flat floors from short- and long-haire

See how a self-moving cleaner calculates interference areas for protruding elements, detects ob

See how obstacle classification into persons and objects enables adaptive speed, distance, and

See how a protruding suction unit with dynamic positioning and auxiliary sensing resolves the c

See how a processor unit assigns hierarchy states to multiple cleaning robots and generates coo

See how variable-length and angled bristles reduce rug entanglement while a deflector redirects

See how a floor-washing robot generates a recovery path after scrubbing to remove residual wate

See how a humidity sensor around the wet cloth pad detects contamination in real time, stopping

See how a self-propelled device uses environmental mapping and historical cliff sensor triggers

See how a floor-mopping robot avoids charging-base collisions by mapping safety and danger zone

See how a second processor dynamically controls camera module connection based on operating sta

See how a maintenance station enables autonomous refilling, washing, and emptying of robotic cl

See how sensor-based surface detection in autonomous vacuums generates visual user interfaces t

See how a modular cleaning robot uses a robotic arm, tool change module, and door opening modul

See how a magnetic attraction assembly with base-station electromagnet enables automatic disass

See how a base station with storage, transfer, and docking modules enables autonomous mopping m

See how an autonomous vacuum uses ground plane detection and 3D object segmentation to map stat

See how a full-perimeter floating bumper uses spring modules and Hall Effect sensors to detect

See how real-time image collection and scene identification enable cleaning robots to detect st

See how a two-phase mapping method ignores carpets during wall-following, then enters boundary

See how behavior control zones with priority levels enable autonomous cleaning robots to focus

See how a second processor controls camera-to-processor connection based on operating state to

See how inclined rotating brush plates with differential control create non-linear motion to co

See how autonomous cleaning robots use intelligent maps with labeled features to plan paths, av

See how magnetic attraction assemblies and base-station electromagnets enable automatic mopping

See how tile-based normal distribution transforms filter phantom points from LiDAR data to impr

See how structured light height detection enables sweeping robots to navigate around suspending

See how a moving unit with LM guide and ball screw adjusts rope tension point to reposition whe

See how map-based unreachable regions and historical cliff sensor triggers create forbidden zon

See how autonomous mobile devices detect and pair pre-placed markers to generate virtual obstac

See how variable-speed rotation in vertical and horizontal scanning units resolves uneven point

See how a self-moving cleaner calculates target interference areas to prevent collisions betwee

See how an automatic cleaning device executes backward and forward movements during rotation ne

See how dynamic rotation direction control enables a self-moving cleaner with extended cleaning

See how oval path planning with turning radius evaluation enables mopping robots to change clea

See how a mobile cleaning robot uses image stream comparison to detect stasis conditions and re

See how a cleaning robot records obstacle type and location, then accepts user instructions to

See how weighted averaging of multiple camera images with sensor feedback reduces floor map dis

Change summaries let mobile terminals request only modified smart home map data, cutting bandwidth, server cache load, and update overhead.

Wet cleaning assembly folds during hijacking and retracts only on carpets, preserving component lifespan while preventing contamination.

A cleaning robot uses a sensor system to acquire three-dimensional obstacle data and adjusts its trajectory based on distance and angle thresholds.

Actuators raise the autonomous cleaner body to hover over obstacles while a gyroscopic flywheel maintains rotational equilibrium during traversal.

Dynamic retractable arms adapt to varying step heights, eliminating body rotation and boosting cleaning efficiency.

A surface processing device uses a movable assembly to adapt its shape for better coverage.

A robot cleaner measures wireless signal strength at multiple locations to identify optimal access point placement.