Automatic Obstacle Detection TRIZ Cases

See how a rotatable battery cover and charging stand rib enable tool-free battery access while

See how an autonomous cleaning robot uses vacuum pressure feedback and cliff sensors to safely

See how a robot cleaner uses zone recognition and preliminary action to prevent its extendable

See how an in-place sensor detects fluid storage position to plan cleaning paths that avoid car

See how barrier rings, water guidance protrusions, and dust chambers protect laser ranging comp

See how alternating inner and outer boundary exploration modes reduces in-place rotation and im

See how a robot vacuum detects liquid, rotates 180°, and mops in reverse to prevent dry-module

See how piezoelectric transceivers replace dense sensor matrices with acoustic field analysis t

See how a robotic water delivery mechanism uses feedback sensors and dynamic pressure control t

See how a cleaning robot uses sensor-based 3D detection of step height, depth, and slope to ena

See how a sweeping robot records trap locations using sensor and image data, then avoids them i

See how dynamic side brush speed adjustment based on working mode and obstacle detection improv

See how a laterally movable cleaning pad switches between pop-in and pop-out positions to clean

See how segmented tread grooves and axial deforming grooves enable robot cleaner wheels to main

See how dual light sources with directional emission and image processing differentiate liquids

See how a piezoelectric sensor in the airflow path detects dust particle impacts to map size di

See how a docking station with dual-chamber dust cup and suction motor enables automatic debris

See how a rotating winding member compresses pet fur and hair into compact skeins, reducing dus

See how a shoe care device uses contamination sensors to automatically trigger robotic vacuum c

See how an AI cleaner modifies cleaning paths through segmentation and preliminary action to re

See how ceiling-projected light enables rapid location and status detection of surface maintena

See how segmented suction spaces and air pressure sensors enable a self-propelled cleaner to ma

See how a robotic vacuum uses 270-degree inverted rotation away from carpet edges to sweep corn

See how a robotic vacuum connected to a central suction unit via retractable hoses reduces onbo

See how dynamic icons and environment maps resolve the contradiction between comprehensive robo

See how a cam-and-follower suspension maintains consistent wheel downforce as the drive arm ext

See how segmented cleaning paths and dry-mode switching prevent carpet wetting while maintainin

See how dual-region cleaning prioritizes carpet or floor areas using stored maps to reduce mech

See how pre-calculated inner rounding paths prevent autonomous traveling bodies from deviating

See how segmented path offset and smoothing reduce sweeping robot steering operations near obst

See how an autonomous mobile object uses its own exhaust air to prevent foreign matter adhesion

See how a retaining rib between port and electronic zones prevents water ingress damage in clea

See how robotic lawnmowers and vacuum cleaners use three communication modes—offline, online, a

See how a robotic floor cleaner detects liquid ahead, reverses direction, and uses the wet modu

See how a robot vacuum autonomously distributes and reschedules cleaning tasks within user-defi

See how a movable main cleaning assembly extends from the robot's edge to reach wall corners, u

See how a floor sensing sensor detects carpet transitions to pause wet cleaning and lift the pa

See how side-wall-mounted TOF laser cliff sensors expand detection range and reduce surface-int

See how relocating cliff sensors from bottom to side wall with TOF laser ranging eliminates sur

See how a touch sensor distinguishes collision detection from user commands via multiple rapid

See how a robot cleaner adjusts its cleaning path and brush speed dynamically based on detected

See how an articulated joint device with offset connection regions enables a cleaning machine t

See how software-controlled path planning and electrostatic spraying target high-touch surfaces

See how an electrostatic adsorption pad and barrier wall prevent foreign substances from contam

See how sensor-based driving parameter evaluation selects standard or emergency braking, reduci

See how IoT devices share surrounding information through a central integrated map to improve t

See how a mobile robot accumulates 3D camera sensing results over time to generate virtual floo

See how merging laminar airflow outlets and surgical lighting into a single ceiling plenum redu

See how two independent glass cleaning robots coordinate via three linear actuators to overcome

A wide front cleaning assembly and combined local-global positioning help robotic cleaners reach walls, corners, and cover floors systematically.

Dual magnetic cleaning units detect the initial window attachment point and return there after cleaning to simplify detachment on high-rise glass.

A force transmission layer and membrane switch arrays let a compliant robot bumper localize impact force and direction without bulky mechanics.

Wheel-assembly sensors detect lifted or jammed wheels so a robot cleaner can change path and keep cleaning around obstacles.

Reflective wheel segments and drive current feedback help coverage robots detect being stuck or free-wheeling for safer, more accurate motion tracking.

Wheel displacement sensing lets the cleaner detect floor material and obstacles, then adjust torque, speed, and course for uninterrupted cleaning.

Cell-by-cell double-stroke coverage maps obstacles into secondary boundaries, improving floor coverage while limiting position drift.

An absorbent core and wicking liner let a lightweight floor-cleaning robot retain liquid and debris without pad swelling or drag.

Compressible chevron rollers and a four-bar cleaning head maintain airflow, adapt to floors, and prevent hair wrap in robotic vacuums.

Vacuum pressure sensing steers a planar surface cleaning robot away from low-attachment zones to prevent detachment on vertical surfaces.

A sliding bumper and rotating front plate detect head-on and broadside impacts, extending mobile robot collision sensing around the full perimeter.

A gateway beacon keeps a coverage robot inside one bounded area during cleaning, then guides autonomous migration into the next area.

Selective infrared blocking creates virtual no-go zones that keep autonomous robots away from pet dishes and fragile objects.

Infrared gateway and vectoring beacons let a coverage robot stay within room boundaries, move between rooms, and dock autonomously.

A movable cover-base casing absorbs impacts and improves shock sensing without a separate bumper, reducing parts and preserving cleaner aesthetics.

A detachable wheel assembly uses elastic locking and spring ejection to let users clean the vacuum cleaner underside without tools.

A two-axis movable camera lets a robot cleaner detect obstacles and confirm position with one module, cutting construction complexity and cost.

Ceiling-reflected infrared signals let an autonomous robot calculate position accurately and navigate around obstacles in cluttered rooms.

A compact autonomous vacuum navigates under raised floor panels to remove debris without panel removal, reducing labor and workplace disruption.

A movable front bumper and microswitch let a robot vacuum detect slight contact, disengage quickly, and steer around obstacles.

Projected structured light measures floor height differences so a cleaning robot can detect carpets or rugs and update navigation and cleaning behavior.

Combining collision acceleration and posture change sensing improves obstacle location, size, and height detection when optical reflection is unreliable.

A slide screen adjusts the infrared receiving area to improve drop-height sensing on dark floors while keeping vacuum cleaner sensor cost low.

A movable chassis and spring-mounted dustpan let the cleaner rise over pencils or nails, then return for continuous floor cleaning.

Reciprocating side brushes detect contact with obstacles, letting a robot vacuum clean beyond its casing while avoiding walls and edges.

Tactile vibration in the remote control confirms working-unit contact when visual cues are limited, improving remote cleaning reliability.

A movable suction cup preserves vacuum sealing over obstacles, balancing travel and cleaning forces for stable surface-cleaning robots.

Independent drive components and vacuum-pressure feedback help a window robot stay attached, change direction, and avoid hazards on vertical surfaces.

Infrared gateway beacons let a coverage robot stay within one room, then align and migrate through doorways for autonomous cleaning.

Mechanical contact sensing detects carpet edges without light- or distance-sensitive sensors, enabling floor-based cleaning mode changes.

A pivoting handle with force and movement sensors lets a robotic vacuum detect stationary objects and adjust its path while remaining easy to carry.

A rear-bottom incline sensor triggers reverse motion on ramps, preventing wheel suspension, excess power draw, and cleaner blockage.

Sensors detect under-furnishing spaces and adapt cleaning routes, while noise damping improves cleaning effectiveness and user convenience.

A docked maintenance station uses an agitator comb and air pump to clear roller filaments and evacuate debris for sustained robot cleaning.

Compliant flaps, end guards, and a traversing cleaning tool keep pet hair from tightly wrapping on robot rollers and ease debris removal.

Pressure-linked air bags and baro sensors detect soft collisions, force, and impact position without complex robot bumper mechanisms.

A tactile sensor and angle-switched wheel control let the cleaner approach walls for better edge cleaning while limiting bump damage.

Separated inlet and outlet openings cut airflow losses while freeing space for a larger autonomous cleaner dust container and easier emptying.

A bell-mouth secondary duct and trapezoidal primary duct cut airflow loss, improving dust pick-up and battery life in robot vacuums.

Operation-result maps let a cleaning robot identify missed or under-cleaned areas and set the next cleaning area without costly dirt sensors.

Angled free bristles bias upward over cables and carpet edges, reducing side-brush tangling without sacrificing cleaning coverage.

Adjustable spoke-mounted rollers let a robot cleaner switch wheel diameter for tight spaces, obstacle clearance, and stable cleaning height.

A single camera with guided infrared optics detects obstacles and corrects odometry drift, cutting sensor count and improving robot cleaner navigation.

A rotating laser and reflector enable 360-degree obstacle detection and route planning while reducing sensor count, structure complexity, and cost.

Reusing the base station's optical path detects smoke during robot charging and cleaning, adding alarms without extra sensing hardware.

Omni-directional wheels and sensor feedback let a surface cleaner reroute around obstacles, recover its path, and reach corners with less programming.

A detection mechanism verifies pin-slot engagement during posture rotation, helping a window-wiping robot walk reliably despite small deviations.

When a destination becomes unreachable, targeted scanning updates path planning so a self-moving device can resume tasks after doors open or obstacles clear.

Sensor weighting separates static from dynamic objects so indoor robots can localize more reliably and avoid collisions in changing spaces.

Temporal signal dispersion and pin short checks help a mobile robot detect sensor blockage, contamination, and false cliff readings.