Lifting Devices TRIZ Cases

Overhead cameras replace physical guide tape with virtual flow lines, easing route changes while keeping unmanned transport on safe paths.

A rail-free AGV carries modular machine tool units and chip modules, improving layout flexibility and automation without fixed guide rails.

Optical markers and camera-based measurement automate industrial truck coordinate calibration, cutting manual effort and reducing setup errors.

A head-mounted forklift view overlays command receipt and action state on the remote image, improving operator awareness without interrupting control.

A displayed guidance route links the forklift and target, helping remote operators steer around obstacles with clearer spatial awareness.

Recent manual driving data is used to set semi-automated acceleration limits, improving forklift safety and control with unstable loads.

Yaw error feedback corrects a conveyance robot’s approach direction to prevent carried items from hitting nearby obstacles during lifting.

Free-moving transport with centering receivers replaces rails to position handling devices accurately near machine tools and cut travel distance.

Fork-tip LIDAR avoids backplate sensor shadowing and debris blockage, improving pallet detection, orientation sensing, and fork alignment.

Recent manual drive data sets semi-automated forklift acceleration limits, improving stability, responsiveness, and load-aware control.

3D camera and depth overlays improve forklift spatial awareness for safer, more precise loading, unloading, and collision avoidance.

A movable crane column shifts forward for transport and rearward for filming, improving highway balance without losing rear use positioning.

Arrival and connection-completion signals coordinate AGV feeder carriage exchange at the mounting base, reducing manual replacement work.

A rotatable locking body on the attachment housing enables external lock release while maintaining secure coupling to the hand-held power tool.

Sensor points are checked against occupied map cells so uneven-surface noise is discarded before localization, reducing processing load.

An angled single sensor covers multiple conveyor sides, simplifying object detection while enabling adaptive stop zones for safer order picking.

By excluding regions opposite the target object, this case cuts mobile machine trajectory search load and calculation time without losing path accuracy.

A motorized articulated mount lets a telescopic filming crane switch to high- and low-angle shots without tip reassembly or manual rebalancing.

LIDAR embedded in fork tips overcomes shadowing and debris false obstructions to detect pallet position and orientation for reliable alignment.

A dual-joint filming head mount expands crane shooting angles without tip inversion, cutting setup time while preserving balance and stability.

Caterpillar-track firefighting access across an ASRS grid cuts response time and extinguishes fires without stopping container handling.

A roller-driven service vehicle moves above the storage grid to reach and transport container handlers with less downtime and space blockage.

A lift-and-rotate support trolley lets one technician remove, inspect, and reinstall heavy brake drum and hub assemblies more safely.

Multiple independent loading sections let one transport cart move several conveyance objects at once, improving delivery stability and throughput.

Guide rollers and a widened entry guide self-correct robot misalignment, enabling accurate workpiece transfer with a simpler arm.

A single laser safety sensor measures product carrier length on guided vehicles, cutting sensor count while preserving positioning accuracy.

Independent hydraulic actuation of telescopic arm sections balances stress and keeps the center of gravity closer to the hinge for higher lift loads.

Point-group frequency analysis locates cargo and nearby object edges without shape recognition, improving loading precision when shelves or trucks shift.

Dual environmental sensors scan the drop-off area before and during travel, enabling safer automated truck or swap-body loading.

Frequency analysis of light-based point clouds locates cargo and nearby object edges, enabling accurate gap measurement despite position deviation.

Point cloud analysis identifies platform edges and mounted objects so a forklift can choose a safe stowage position without interference.

A head-mounted forklift view overlays command inputs and action state data, giving operators fuller remote control awareness without interrupting work.

A self-propelled guide unit couples to a load carrier, using stabilized engagement and control signals to automate pallet-compatible transport.

Multiple cameras, fork position sensing, and load beam feedback let a material handling vehicle place and release loads more precisely.

Camera tracking of visual markers calibrates industrial truck coordinate systems from actual versus desired trajectories, reducing manual setup and errors.

Three-level tote storage and timed recirculation keep required containers near a stationary picker to cut delays and raise warehouse pick rates.

Cameras and display screens replace mirrors and spotters to reveal mast and load blind spots, reducing forklift collision risk.

Optical sensing and a neural network detect fork-to-object alignment and automatically adjust vehicle operation for safer, more precise handling.

A controller rotates and shifts the sensor coverage field to match MHV position, improving narrow-aisle obstacle detection and reducing false alerts.

Contour and feature extraction let handling machines locate irregular or damaged pallets accurately for precise arm or clamp alignment.

By detecting a trailer's rear position, attitude, and length before movement, the vehicle can align accurately despite parking shifts.

A guided lifting and engagement assembly supports heavy vehicle drum and hub removal, cutting manual handling, injury risk, and service time.

A pivoting two-section frame aligns a screwing tool on inclined flange bolts, enabling hands-free tightening and faster movement between connections.

Azimuth-based reference control keeps crane remote commands aligned with actual movement direction, even in obstructed or large work areas.

Initial pallet position is detected once, then reused to calculate routes for later pallets, improving transport accuracy and throughput.

Overhead imaging tracks unmanned vehicles without onboard sensors, replacing tape routes with virtual paths that adapt to layout changes and obstructions.

Passive spring-damper compensation keeps wall and ceiling tool pressure stable, avoiding overcontrol and improving surface finishing quality.

Multiple robots sandwich and lift carts with contact parts and rotation, enabling stable transport without object modifications.

A scissor-lift sensor module and dual reflector views let a crawler inspect opposing generator surfaces in situ without rotor removal.

Flexible strips interlock into a constant-diameter multi-ply tube, boosting actuator strength while avoiding large spools and separate locks.