Programme-Controlled Manipulator TRIZ Cases

See how cost maps and projected path masks enable robots to balance task execution and obstacle

See how grid-zone segmentation and merged mapping-cleaning phases improve robot coverage and ef

See how a node skeleton tree with midpoint compression reduces path planning time complexity an

See how impedance signature analysis enables automated systems to classify material type and qu

See how a wristband fluid applicator merges reservoir, spray nozzle, and textile base into one

See how extendable auxiliary cleaning units dynamically extend along walls and retract in open

See how a monitoring apparatus detects garbage location and sends feedback to a cleaning robot,

See how a catadioptric lens and reflective mirror merge front, upper, and lower detection paths

See how capacitive sensors replace binary switches to measure bumper displacement proportionall

See how sensor-driven corner detection enables a robot cleaner to reduce velocity and rotate fo

See how delay-time segmentation of docking signals creates non-overlapping guide areas, enablin

See how a robot cleaner integrates Wi-Fi AP and NFC modules to enable secure smartphone control

See how multimodal sensing with cameras, lasers, and motion capture enables robotic arms to rep

See how a robot cleaner uses image-based feature distribution learning to recognize its current

See how a robot cleaner executes curved traveling along zigzag paths to change direction withou

See how a robot cleaner uses a dynamically lowered main wheel and auxiliary front wheel to clim

See how an automatic moving apparatus switches between stored traveling methods and image-based

See how segmented infrared signals—front and distance—enable a cleaning robot to calculate char

See how segmented infrared signals—front signal plus multiple distance signals—enable cleaning

See how a cross-shaped optical pattern with convex lens cells replaces ultrasonic sensors to im

See how multiple dust sensors positioned before and after cleaning enable a robot cleaner to ve

See how a robot records wall-following path segments and re-localizes by template matching to m

See how a segmented robot design with an independently rotating moving module reduces energy an

See how a moving robot uses terminal-defined virtual walls with operational attributes to divid

See how geometric analysis of projected light patterns enables robot cleaners to discriminate r

See how a moving robot uses camera-based vision and machine learning to recognize obstacles in

See how a rotatable sensor with dynamic reference direction adjustment enables robot cleaners t

See how dynamic illumination adjustment enables a single camera to support SLAM and monitoring

See how dedicated cooling air passages and optimized port placement resolve airflow-temperature

See how a distributed operating system translates cloud instructions into local device commands

See how dividing non-rectangular cleaning areas into sub-regions based on recesses, then mergin

See how a carousel with motor-driven actuator arms automates ingredient dispensing to reduce ma

See how a maintenance station uses air circulation and suction to automatically suspend and dis

See how a cleaning robot tracks an infrared light spot from a remote controller to move automat

See how a robot processes external images using pixel clustering and entropy analysis to match

See how a cleaning robot uses gravity acceleration vectors and magnetic sensors to maintain str

See how a spiral cleaning pattern with inward movement and brush orientation solves corner debr

See how image-based object classification and spatial alignment enable autonomous robots to rec

See how emotion estimation drives a moving object to track users and adjust shelter, light, and

See how a robot cleaner uses voice direction detection and detour routing to reach call positio

See how a mobile robot uses landmark object recognition to autonomously define no-entering regi

See how a moving-robot creates multiple maps at different times and selects the best match usin

See how a rotatable optical sensor switches sensitivity modes to avoid false obstacle detection

See how light sensors detect dust box levels to trigger autonomous docking and discharge, reduc

Time-stamped motion tracking and image data enable objective, real-time MTP latency measurement for remote MR teleoperation.

Real-time point clouds create adaptive forbidden and guidance virtual fixtures, improving teleoperation accuracy, stability, and safety.

Modular autonomous farm robots swap task payloads and use sensor feedback to handle weeds, pests, harvesting, and field work with less labor.

Surface data and feedback guide a robotic sanding end effector to improve drywall finish consistency while reducing manual labor.

Distance feedback and independent feed control keep the tool aligned as the workpiece shifts, improving machining accuracy and chip breaking.

Radar-based distance and speed sensing lets the working section switch among normal, slow, and stop modes to balance safety and efficiency.

A speed-adjusted virtual bumper built from circular zones helps mobile robots avoid moving obstacles with lower calculation cost.

Switchable actuator stiffness lets supernumerary robotic limbs stay compliant for safe contact and rigid for accurate task execution.

Flexible gripping and deformation sensing set object coordinates automatically, improving 3D model alignment and scan efficiency.

Pre-grasp planning and Markov decision control help a robotic hand move multiple objects despite occlusion, pose uncertainty, and displacement.

Hybrid frames replace live object views with updated models and directional cues, improving remote guidance for robotic interaction.

Setting the center link axis angle helps a parallel link mechanism avoid singular points while keeping wide motion, rigidity, and precision.

Hybrid lab automation uses a mobile robotic cart and scheduling control to coordinate manual and automated tasks while improving data consistency.

Neural vision reconstructs tire position and shape in mixed bulk stacks, guiding sidewall gripping without CAD models or fixed hardware.

Intermediate link hubs and bearings raise rigidity, cut friction, and protect cables to improve origin positioning accuracy and smooth motion.

Image-guided path adaptation uses compaction history to correct rollout inconsistencies and improve composite ply quality.

Time-divided feature clustering and ID pattern mapping automate action labels, cutting manual table work while preserving recognition accuracy.

A patrol robot switches each task between autonomous and remote manual control, improving efficiency for mixed routine and complex work.

User interaction monitoring retrains AI agents to personalize workflows, improve accuracy, and reduce ongoing human oversight.

Inspection marks make subtle body-surface defects visible to vision sensors, enabling robots to sand precise depths with less quality variation.

Separate loading zones and robot transfer let a machine tool handle workpieces in parallel, improving safety and reducing downtime.

Torso tilt sensing and head rotation keep the robot facing horizontal, creating a more natural pet-like posture.

Overlaying mission actions on facility maps with metadata-based detail helps operators find and select relevant robot actions faster.

Sequence-checked watchdog circuitry disables the joint control link on processor faults to lock a surgical robot arm and prevent uncontrolled motion.

By hiding selected workpiece marks in the joint surface, welding keeps one readable ID on the final weldment and simplifies traceability.

Manual haptic feedback lets surgeons feel screw-tissue resistance while the robot maintains the planned pedicle screw trajectory.

3D geometric and symbolic scene graphs let robots plan complex object tasks with fewer domain-specific rules and more flexible execution.

A precomputed linear head trajectory varies distance and discharge timing to keep coating uniform without slowing movement.

Image-based intermediate waypoints help robots bypass dynamic obstacles in tight spaces, reducing entrapment and improving route reliability.

Real-time comparison of actual and model-estimated motion lets robots correct state changes and maintain accurate movement in dynamic conditions.

LiDAR-guided robotic sampling and NIR-based grading remove operator bottlenecks in grain facilities while extending operating hours.

Ray tracing on a virtual object quantifies sensor coverage, helping balance sensing accuracy with processing load.

Autonomous mobile robots route boxes between modular packaging stations, skipping unnecessary steps to avoid conveyor delays and ease line reconfiguration.

Robotic assemblies inspect and repair gas turbine engines on wing, cutting disassembly time and cost through autonomous workscope updates.

Camera-guided item placement lets a shopping robot collect hard-to-reach products in dense aisles and organize them safely in its holding compartment.

A robot controller checks model-use permission before execution, while operation logs stay linked to model IDs without storing sensitive data.

Hindsight and foresight replay expand robot interaction data to speed multi-target reinforcement learning and improve task generalization.

A tunable neck absorber combines shock damping and adjustable vibration frequency control to stabilize robot camera and IMU data during walking.

A wrist-mounted camera and model-free RL keep moving objects in view for 6-DoF grasping despite occlusions and confined workspaces.

Movable rail-mounted laser profilometers detect object edges across pallets while avoiding hard-to-maintain elevated vision setups.

Automated layout and shared work area division cuts robot cycle time while avoiding manipulator collisions in common work zones.

A child session window lets robots and users work on the same apps and file system in parallel without blocking user interaction.

Chance-constrained trajectory optimization handles uncertain frictional contact, improving feasibility and reliability in robotic manipulation.

Hierarchical quadratic programming blends human input with autonomous whole-body and contact-force control to keep mobile robots stable.

Sequentially processing event and vision data preserves force and timing cues, enabling more reliable robot task replication.

An inclined damping tray lets a delivery robot counter vibration and inertia, keeping soup or coffee stable at speed and over obstacles.

An adjustable rigid coupling fixes passive-link spacing to prevent ball joint rattling and wear in parallel link robots without springs.

Multi-view image and haptic matching place object models accurately in environment models, improving realism and robustness in VR and robotics.

A constrained proxy limits commanded poses so teleoperated follower devices stay within kinematic limits with less lag and disorienting motion.

Listener robots monitor user interactions to train and deploy personalized RPA workflows, improving automation accuracy and efficiency.

A built-in bidirectional gas pump removes external air lines, letting a peristaltic robot move through varying pipeline diameters and hazardous gas conditions.

Pre-calibration computes robot step size and positions to keep the target in view, compensating cantilever effects for automatic calibration.

At the lift upper limit, a stopper damps sheet vibration so multiple pickups and posture can be detected without slowing conveyance.

Tele-operated hull robots use crushing, capture, and effluent treatment to remove sun coral biofouling without divers or fragment spread.

Electromagnetic gripping uses friction-generating magnetic force to hold hot, wet cookware reliably across cooking, washing, and transfer.

Failed picks are generalized to similar regions, while air perturbation repositions bin items to raise robotic picking success with less intervention.

Dual control interfaces and a rotating disk separate direction and force input to avoid cross-axis interference in robot end motion.

Offset holder channels spread lubricant across cylindrical rollers, reducing flow bias, friction, and wear in robot gear bearings.

Image-guided vacuum regions let a robot selectively grip nearby or irregular objects with reliable handling and lower damage risk.

A voice and chat bot links facility staff to supervisory systems, cutting training burden, app switching, and downtime.

A cam-actuated brake locks or releases a robotic arm joint to support precise catheter exchange with shorter guidewires and single-operator control.

An overhead camera and trajectory control let a manipulator move its own free cart, removing manual pushing and AGV path maintenance.

Candidate weld lines are overlaid on the workpiece image so operators can set order and direction, improving robot welding efficiency.

Modular collision maps for robot components cut memory use and recalculation when robot or workspace configurations change.

A moving window of conveyor workpieces lets the robot optimize pick sequence beyond inflow order, improving picking efficiency as positions change.

A two-threshold force response stops the robot, then adds vibration or warning feedback to prevent overload from inexperienced operator input.

Moveable locking members replace bulky extensible arms, giving mobile robots compact, secure cart and docking station connection.

Precomputed inverse kinematics and sub-cell decomposition cut manipulator lift-offs during surface coverage, reducing energy loss and delays.

Dynamic role assignment matches robot capabilities to changing manufacturing tasks, reducing reconfiguration effort and improving execution efficiency.

Bayesian updates over action chains keep robotic exploration temporally coherent, improving data efficiency and reducing jerky motion.

Theme park robots use show, safety, and social subsystems to stay in character during faults while responding safely to guest behavior.

Force-sensed end effector control constrains 6-DOF motion by surgical mode, easing instrument repositioning while protecting tissue.

Movable sensors map parts in 3D so welding robots can find actual seam positions, adjust paths, and avoid defects and downtime.

A robot arm redirects its camera toward object corners to refine structure sensing, improve object typing, and plan accurate grasp points.

Gravitational torque and collision sensitivity are used to correct robot arm deflection in real time when tool loads change.

A synchronous processing unit reads robot drive signals and triggers the sensor at motion start, improving robot-arm measurement accuracy.

Camera-guided learning ranks multiple grippers by success probability, cutting robot teaching time while meeting industrial gripping needs.

Automatic checks compare reference and verification symbol images during idle time, updating robot camera calibration when drift exceeds a threshold.

Graphical image analysis lets robots match substitute tools to work-piece engagement areas when the specified tool is unavailable.

Torque sensors and adaptive thresholds let a collaborative robot detect collision risk early and adjust speed or path for safer human sharing.

Self-supervised training builds object-centric embeddings that help robots distinguish subtle object attributes without costly labeling.

An adjustable squeeze mechanism compensates plastic gearbox fit errors after molding, cutting backlash, vibration, and housing thickness.

When 2D routing fails in confined spaces, the robot switches to 3D shape evaluation to find collision-free paths with lower compute and battery use.

An intersecting-link joint with a linear actuator raises reduction ratio as the knee bends, maintaining torque without a larger motor.

Varying tubular and diaphragm thickness improves elastic bending, tooth meshing, and torque transmission in wave reducers for robots.

Extended control-signal validity and adaptive retransmission keep mobile terminals operating when scheduled wireless commands are missed.

Remote electronics and modular load cells cut weight, cost, and repair burden while preserving precise force and torque sensing on robot arms.

A decoupled planning loop uses relative position and velocity to avoid static and dynamic robot-workspace obstacles in real time.

A non-repeating dark-light coded strip lets robots detect arena position and orientation in real time with less computation and recalibration.

Speaker-driven plate vibration reorients mixed electronic components without custom bowls, cutting setup labor and conveying cost.

A lens-focused liquid flow path enables laser peening on complex surfaces by limiting nozzle interference and applying compressive stress.

Pivoting wheel assemblies let carriers change direction on discontinuous grid tracks, improving object routing throughput while reducing sortation complexity.

Real-time 3D clearance maps help adjust robot roadmaps to avoid collisions and preserve motion range in dynamic environments.

A detachable coupling and multiaxial robot automate machine-vise loading and clamping without machine-tool modifications.

Optical sensing and robotic manipulation locate small brake levers on varied railcars, enabling safer autonomous brake maintenance in yards.

Embedded optical waveguides in a soft gripper sensor detect lateral deflection and incipient slip, enabling real-time grasp correction.

A robot checks connector fit by moving sideways from the fitted position and judging force rise within an allowed range to avoid false good results.

Vision-guided picking and automated mobile carriers route objects to changing processing locations, cutting bins, labor, and sortation delays.

Automatic machine search, positioning, and linking program transfer cut setup time and memory load when recombining production lines.

Positioning the welding sensor between the flange and torch mount reduces interference while preserving accurate weld line scanning and arc stability.

Simulated recurrent-network training helps robot end effectors stay accurate across changing camera viewpoints while reducing real-world testing and wear.

Angled sensors mounted outside a robotic storage bin detect fill level in real time, enabling timely emptying and lower bin management costs.

Classified imitation models learn operator actions from environment and history data to automate skilled tasks without lengthy manual programming.

Automatic friction control lets an exoskeleton knee joint lock and unlock progressively, cutting weight, power use, and manual intervention.

A variational autoencoder samples and refines robot grasp poses from noisy depth data, improving grasp diversity and stability.

Pre-trained value functions replace deep trajectory searches, cutting calculation time while preserving timely action decisions for control targets.

Angled multi-axis coupling lets a robot arm fold compactly while extending reach and supporting configurable degrees of freedom.

Mechanical contact sensing of workpiece side surfaces enables precise trajectory correction without costly high-resolution cameras.

A compact brake links the wave generator input to the flex cup output inside strain wave gearing, cutting gearbox size and parts count.

Pass-through and rotational couplings let articulated robot vacuum hoses move through joints with less bending, torsion, and wear.

A temporary precision transport stage isolates vehicle bodies from conveyor vibration, giving robots a stable reference for accurate assembly.

Angle-based correction removes off-axis load effects from robot joint torque sensing, improving control accuracy without sensors on every joint.

Synchronized local and overall control links compliant robot arms to raise stiffness, reduce deflection, and handle heavier loads.

Automatic virtual-real layout correction helps apply robot programs from simulation to real equipment with less calibration time and higher placement accuracy.

Targets convex elevations and outer edges so one elastic suction gripper can securely pick mixed-size, disordered objects without frequent adjustment.

Resilient concave guide wheels and a vertically movable drive assembly cut shaft wear and slippage while preserving gantry positioning accuracy.

By storing salient objects and their coordinates instead of full images, robots speed up SLAM while preserving localization accuracy.

Programmable manipulators and perception systems sort mixed objects by dynamically assigning bins, raising throughput while cutting space and labor.

A motor-driven shaft and linked pushers replace pneumatics to deliver quieter, smaller, and precise robot tool coupling.

Magnetorheological fluid and electromagnetic coupling let a robot joint switch drive states quickly for fast reciprocal swing with lower inertia impact.

Prioritizing overlapped downstream articles with region-based order control improves picking completeness and reduces sorting complexity.

A dummy tool with visual tracking captures complex robot paths offline, cutting programming time while improving accuracy for welding and metal work.

A single rotatable gripper assembly grips sample cases and opens lids together, cutting equipment space and cost while controlling holding force.

A separate hexapod metrology layout measures six-DOF position while a simpler drive moves faster with lower cost and maintained accuracy.

Continuous software ratcheting aligns the master grip with the slave instrument tip, avoiding powered gimbals, entry delays, and added cost.

By matching 2D object faces to stored 3D prototypes, the robot determines safe pick order and placement without destabilizing a stack.

A magnetic brake band tightens around a robotic joint rotor to hold position under load and reduce gearbox size and complexity.

A pivoted wheel structure raises intermediate wheels against the pipe wall to prevent roll and keep drilling or imaging centered.

Camera monitoring detects operator step completion and synchronizes robot actions to cut assembly time and reduce errors.

Motorized joints with clutches and absolute encoders cut tooling setup time while preserving precise positioning for different workpieces.

A constant-force spring and pulley balance vertical joint gravity, cutting arm bulk and improving precise surgical motion.

Vehicle sensors and a shared control unit drive robot motion and safety functions, cutting robot-side hardware cost and expanding task flexibility.

Preemptive behavior-graph planning lets robots predict downstream actions during execution, cutting control downtime without losing planning accuracy.

Mechanical coupling with localization signals lets a transport robot pick up, move, and release a service robot across separated surfaces.

A piezoelectric actuator controls constant pressing force without heavy hand-mounted force sensors, enabling lighter, precise robot polishing.

Joint torque feedback replaces end-effector force sensing to improve robot impedance control accuracy and robustness under disturbances.

When execution deviates from plan, robots use observation-driven re-planning to adapt to environmental changes without external control.

Selection matrices and null-space projection let robots run prioritized subtasks together without control interference or controller rework.

A fleet of legged mobile robots sorts laser-cut parts in parallel to remove unloading bottlenecks and add sensor-based quality checks.

Distributed motor modules use leadscrew actuation and transmission to deliver torque while keeping reconfigurable robotic structures compact.

Force and torque sensing at the end effector enables precise UAV handling and contact detection without fragile surface sensors.

A rack-mounted elevator lets mobile robots move between shelf levels, improving warehouse throughput flexibility without full system redesign.

Optical sensing and laser projection create a closed-loop pet training system that predicts behavior and reduces human interference.

A robotic gripper with guided fingers and a spring-driven blade grasps tethered crops and cuts vines cleanly to raise harvesting throughput.

Fixed 1D ToF sensors with non-overlapping cones cut sensor count while preserving predictable obstacle detection on mobile robots.

Handwritten marks on a live robot image are interpreted to identify the target object and estimate the required grasping motion.

Intersecting protective sensors create unmonitored transfer windows, reducing machine stoppages while preserving safe zone coverage.

Tight fitting between the shaft, bearing inner ring, and wave generator improves coaxial accuracy, stability, heat dissipation, and reducer life.

3D vision and force sensing let a robotic arm stack mixed items quickly, then snug each one into a stable final pallet position.

A shared calibration object aligns multi-sensor robot data in one coordinate system to correct assembly deviations and improve sensing consistency.

Three compensation marks are cross-checked before robot delivery, helping detect displacement or staining and maintain accurate article placement.

A 3D GUI shows teaching points, joined paths, and state-change markers so robot paths can be adjusted offline with better accuracy and less teaching time.

A GUI-driven, modular controller architecture cuts robot control development time while keeping multi-threaded data transfer thread-safe.

An elastic pretensioning element preloads robot joint bearings to simplify assembly, absorb tolerances, and maintain low play and high rigidity.

Two magnetic antennas compare pulse strength and duration so a mobile robot can reorient accurately for charging station docking.

Higher-order polynomial trajectories replace PID transitions to hold exact position and time with less oscillation and damping error.

Dynamic load state and external safety processing help robots adjust movement plans and mitigate collision risks in shared workspaces.

Shared memory command channels buffer non-real-time speed variation so a dual-OS PC can deliver smooth, accurate motion control.

A programmable contact flange and linear slide let a robotic arm follow precise force patterns for defect removal without part or machine damage.

A nested crank-shaft and carrier layout enlarges the hollow path for cables while preserving reducer size, strength, and reduction ratio.

A decoupled sequencer adapts case order to mixed dimensions and SKUs, keeping robotic pallet building stable despite anomalies.

Predicted next images guide robot arm adjustment, cutting manual teaching time while adapting position and direction to changing conditions.

By sampling surface interaction points, the controller handles contact forces without exact contact localization, improving safe robot response.

A neural detector combines predicted actions, human state, and AMR sensor data to catch unintended motion and prevent collision risks.

A CNN-generated edge map strengthens sample tube top circles while suppressing barcode and tray edges for more reliable robotic handling.

A warehouse robot uses container markers to correct travel direction and reach the butting position faster with more accurate alignment.

Proximity sensing and local alerts warn nearby operators before remote control of specimen testing equipment, reducing collision and workflow interference.

A foldable two-arm gripper uses one drive and toothed-belt transmission to fit compact tool changers while preserving reliable tool exchange.

When image-based localization fails on uneven ground, the robot decelerates along a speed curve until clear images restore accurate positioning.

A neural-network calibration approach corrects posture-dependent gravity errors in robot force sensors for more accurate contact force control.

Depth-based static and dynamic maps classify obstacle motion and adjust repulsive speed to avoid collisions without trapping the robot.

Calculating coating position from robot motion enables early detection of pressure, temperature, and positional application faults on workpieces.

Image-based body, ground, and step maps let legged robots avoid obstacles, keep balance, and move faster through cluttered rooms and stairs.

Imaging and depth-map registration let robots identify unknown packages, choose viable grip regions, and avoid mishandling heavy or uneven loads.

Multiple calibrated work points map spatial correction values to target positions, improving robot arm accuracy beyond DH parameter optimization.

Modular robotic cells and AMRs replace stamping lines and paint shops, enabling flexible low-volume vehicle assembly in smaller factories.

Pendant tilt and orientation sensing replaces complex coordinate teaching, making robot posture instruction more intuitive and accessory-free.

Dual articulated robots use pendular motion and a variable crossbar to speed press-line transfer while avoiding die-guide interference.

Temporary spatial reference cells and edge analytics let mobile measurement vehicles adapt quality control tasks without losing accuracy.

Tactile force comparison near allowed-range boundaries guides a robot away from prohibited zones, easing direct teaching and reducing collisions.

Opposing rollers drive a medical instrument shaft faster through a service loop while limiting buckling and tissue force in robotic procedures.

A vision sensor and determination point simplify threshold setting by converting posture error into distance values for faster, precise robot positioning.

Separating the transmission seal from the link-gap seal cuts friction-driven secondary force flows and preserves robot joint torque accuracy.

Eye tracking and AR overlays replace teach pendant menus, letting operators access object-specific robot information by looking at the workspace.

Autonomous robots capture VINs, vehicle images, and GPS at each handoff to pinpoint when supply chain damage occurred and who had custody.

Adjustable closed-loop conveyor belts, alignment, and backlighting help robots feed mixed objects without overlap and improve gripping precision.

An integrated support arm, turntable, and pivoting boom handle heavy workpieces at the station, reducing forklift use and setup time.

Preloaded ladder programs let a master PLC switch robot cell order patterns without complex parameter edits or PLC communication remapping.

Joint moment feedback corrects hand-guided robot end-effector position during external contact, improving tracking accuracy.

A vehicle lifts and repositions a movable track to reach elevated storage locations, improving space use, throughput, and response time.

Vacuum coupling joins electrode insulators directly to electrodes, enabling PVDF-class polymers without heat sealing or added series capacitance.

Sensor-based detection records actuator position and movement direction to automate gripper teach-in and improve state recognition across wear and object variation.

Impedance control and contact sensing let an underactuated robot switch between cooperative and autonomous modes while limiting oscillations.

Current and position deviation patterns across multiple servo motors help pinpoint robot abnormality locations, cutting maintenance time and part swaps.

A spring-actuated clamping unit locks direct-drive manipulator joints against rotation without gearboxes or separate brakes.

Computer vision and room swath planning let a mobile paint robot coat walls precisely while cutting paint waste and hazardous emissions.

Candidate pick positions are estimated against robot working volume and usage time to improve conveyor handling efficiency and reduce failed picks.

On-board perception checks each driving command against hazards and adjusts only unsafe inputs to preserve driver intent while avoiding collisions.

A trained ML function predicts robot motion outcomes, swept volume, and collisions without repeated simulations, cutting time and compute.

Perception-guided grasping and split trajectory planning automate mixed-object sortation in cluttered inputs while reducing manual handling.