Programme-Controlled Manipulator TRIZ Cases

Camera, voice, and cloud-guided setup lets a mobile robot find the user, capture face data, and simplify network access and sharing.

Using two visual markers and mobile terminal sensors, this case locates a robot cleaner relative to the user for intuitive zone and path control.

A spring-biased side brush extends cleaning reach, then retreats on obstacle contact to prevent snagging and maintain smooth robot vacuum travel.

Obstacle-triggered side brush retraction during robot turning preserves edge cleaning while reducing brush jamming near obstacles.

Three-axis inductive sensing improves robotic mower boundary wire detection on slopes and oblique approaches for steadier navigation.

A sealed steam-brush-suction head cleans refrigerated walls and ceilings with less water, no chemicals, and reduced ladder risk.

A dual-emitter, downward-looking sensor bounds the detection zone to spot dark chair legs early and slow the robot before contact.

Sensors detect contaminated zones and dispatch mobile filters only where needed, improving data center air quality while avoiding wasted energy.

A light shielding portion blocks window-surface reflections, helping robot cleaners avoid false obstacle sensing and detect nearby objects accurately.

Wall detection and contact-signal control let a robot cleaner stay aligned to walls and clean edge gaps without reversing after contact.

Tilt signals from a user terminal steer the robot cleaner, avoiding screen checks and simplifying real-time movement control.

Image-based hand tracking lets a cleaning robot follow user intent for selective cleaning, reducing labor and avoiding virtual wall beacons.

Recorded obstacle coordinates let a self-moving robot find turning points, avoid repeated detours, and keep traversal paths concise.

By comparing tilt angles before and during obstacle crossing, the controller preserves mapping accuracy and improves robot vacuum navigation on rugs and steps.

A transparent extruded cover shields the robot cleaner position sensor from dust while preserving light paths for more accurate obstacle detection.

Automatic battery switchover, downward movement, and obstacle sensing help a glass cleaning robot avoid falling during power outages.

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

Clean-air downflow through the robot base suppresses particle dispersion during lift motion, helping keep semiconductor wafers clean.

Air circulation, suction, and rotating brush rollers clear dust from the robot cleaner dust box automatically to sustain cleaning performance.

A ventilated leg link uses convection, airflow paths, and optional fans to cool onboard electronics and keep heat away from the user.

Signal transmission and feedback verification let a robot confirm docking success and recharge automatically without manual intervention.

Motor current sensing triggers edge brush reversal so a coverage robot can unwind cords and keep cleaning around obstacles autonomously.

Two mirrored motors mounted on the portal balance traction, simplify transmission and wiring, and make sheet cutting machines easier to reconfigure.

Motor current monitoring reverses the edge cleaning head during entanglement while the robot slows near obstacles and keeps cleaning.

Start-position detection lets the robot cleaner trigger spot cleaning outside the charger, then switch to standard automatic coverage.

Independent wheel, cleaning, battery, and bin modules improve robot serviceability, cut repair waste, and extend operating life.

Partial-map optical navigation and modular cartridges let one robot switch tasks, dock reliably, and reduce manual consumable handling.

A dual-map approach lets a mobile robot build feature and path maps while cleaning, cutting time and improving navigation accuracy.

An inflatable reservoir and lift cylinder balance different load weights with simple pressure adjustment and controlled air release for safer handling.

An integrated patient table and over-table robot arm improves stiffness and positioning while keeping the surgical workspace unobstructed.

Switching from random to parallel scanning helps an autonomous lawn robot pass narrow areas, avoid obstacles, and maintain full coverage.

Multiple inductive sensors at different angles improve robotic mower boundary detection on slopes and oblique approaches.

A picking arm and spoon arm work together to handle sticky rice and varied tray foods, giving users more independent feeding control.

Airflow and rotating brushes empty the robot cleaner dust box at a maintenance station, preserving cleaning performance with less manual upkeep.

A handheld remote loads schedules and control signals into a robotic cleaner, enabling autonomous operation without user presence or on-device input.

Manual region setting lets a robot cleaner repeatedly clean a chosen area without ceiling marks or laser points, reducing cost and malfunctions.

Motor current monitoring triggers brief cleaning head reversal, freeing cords while the coverage robot keeps moving and cleaning.

When cleaning starts away from the charger, the robot switches to spot cleaning first, then resumes automatic coverage to remove dust at its current position.

A synchronized mobile platform follows user speed and direction to improve wearable robot mobility and upper-limb operability.

Feature-point image mapping lets a mobile robot correct position drift at region boundaries and avoid repeated cleaning through closed-loop paths.

A camera-equipped robot cleaner follows and monitors an elderly person, switching between cleaning and care modes for real-time checks.

Adaptive boundary-wire current control maintains magnetic field detection while cutting power use and limiting interference from nearby systems.

Pixelwise neural predictions from depth images replace full 3D object models, improving robotic grasp accuracy and grasp generation speed.

Image-pair training replaces reconstruction loss with reward and dynamics prediction to produce robust latent states for real-time robotic control.

Point-contact calibration updates machine model parameters to correct rotary-axis cumulative errors and improve tool center point accuracy.

A multi-layer tool path reduces jumps and supports continuous material flow in 3D printing, improving efficiency and build integrity.

Contact-based impedance control varies robot arm resistance by hand position count, enabling easier one-hand moves and finer two-hand teaching.

Control-error anomaly signals retune 2DoF controller parameters to maintain tracking accuracy, robustness, and safer operation under system changes.

Human-presence detection sets conveyor speed limits so collaborative robots stay safe without disrupting workflow efficiency.

Merged stair models, ground height maps, and no-step regions help robots place feet accurately and avoid collisions on stairs.

Machine learning segments and tracks overlapping conveyor items while gripper-aware imaging cuts vision delay and supports rapid, accurate picks.

Integrated force-sensing layers let users guide a robot with both hands while reducing reaction time and stopping motion when contact indicates harm.

Automatically generates robot contact programs to reposition bulk-stacked workpieces in containers while reducing collision risk.

Voxelized hit-brick detection estimates robot interference zones and critical targets faster than 3D swept-volume analysis, reducing idle time.

Vision-based free-space and object tracking lets a mobile robot choose a safe revolving-door entry time and avoid collision delays.

Vision-guided cascaded robots pick random 3D bulk objects and place them onto a moving sorter, removing manual induction bottlenecks.

Image-based spacing checks let warehouse robots retrieve boxes only when neighbor clearance is safe, reducing collisions, damage, and shelf instability.

Graph-based posture planning evaluates grasp, workpiece, and robot state combinations to cut robot operation time and setup trial and error.

Fusing visual, wheel, surface, and depth sensing corrects mobile robot slippage and uneven-surface errors for more accurate mapping.

A continuous barrier and magnetic coupling transmit force across sterile and non-sterile sections without compromising the surgical field.

Transforms grasp network outputs to filter mislabeled scores and adjust grasp points when real camera data causes covariate shift.

A dual-control torch mount separates robot positioning from arc start, reducing unnecessary welding during direct robot operation.

Real-time pose monitoring guides AACMM operators toward accurate measurement postures, reducing handling errors and poor point data.

Experiment definition data coordinates mobile transport and workbench robots to automate cell retrieval, processing, and storage.

Pneumatic adhesive elements and micro-LIDAR sensing enable fast, reversible underwater grasping despite water weakening conventional adhesion.

Autonomous air and ground patrols share event location data to speed 3D disaster monitoring, evacuation, and firefighting.

Facial landmark detection and eyelash maps guide microrobots to place artificial lashes precisely while supporting personalized virtual try-on.

Gradually reducing deflection compensation after gripper opening suppresses unintended robot arm motion and helps avoid workpiece or workbench contact.

Timed multi-drive control lets a robotic arm throw, catch, and rebalance an object at non-end positions without a gripper.

Virtual 3D models set reference workpieces and grip points so robots can simulate picking and transferring multiple parts more accurately.

Adaptive MPC changes prediction and control horizons by contact vibration state to speed robot force control without losing precision.

Regional imaging and count-based loosening focus picking on dense workpiece areas, reducing empty scans on large supply stages.

Real-time laser distance feedback stabilizes sealant discharge on fasteners despite viscosity changes, enabling consistent automatic cap sealing.

A digital twin and mobile robot workflow lets remote users diagnose manufacturing faults, validate fixes, and restore equipment without on-site experts.

Drive-controlled fastening part alignment corrects position deviations without changing robot paths, reducing collisions, wear, and dynamic loss.

Sensors classify shared areas by actor presence and type, letting robots switch safety modes to balance human protection and efficiency.

Predicting reference-frame motion and robot path derivatives helps avoid overload while keeping conveyor-relative robot motion smooth.

An nth-order inverted pendulum model improves wheel-legged robot balance robustness by adapting joint force and torque control to changing motion states.

A mobile robot moves around a stationary user to capture full-body images, build an avatar, and enable virtual clothing fitting.

Boundary and monitoring sensors with AI classify vehicles and pedestrians, letting parking robots adjust operation by risk level.

Automated mass flow control and feedback stabilize fuel and oxygen flow, giving reproducible brazing flames despite cylinder and temperature changes.

Sensor fusion on the driving robot estimates trailer robot angle from rear images and sensor data to prevent coupling bend and collision.

Dynamic enabling of robot degrees of freedom cuts planning complexity and power use while improving navigation precision and adaptability.

An octree-based convex workspace map cuts point-cloud complexity and noise for real-time collision-free robot planning and intent prediction.

Hierarchical software components and FIFO state sequencing enable real-time mode switching while avoiding side effects from interdependent control logic.

Precomputed nozzle-to-workpiece posture mapping enables accurate 3D printing on curved surfaces without slowing robot operation.

A roller drive and coordinated robotic arms control flexible shaft insertion and retraction rates to reduce friction and improve navigation.

Cloud-guided robotic cells analyze building data, plan assembly sequences, and cut housing construction time with less skilled labor.

A relay position lets the robot hand set its picking posture before a translation-only approach, avoiding collisions in randomly piled workpieces.

Adversarial grammar sampling predicts multiple future poses and activities for robotic control with lower computation and less training data.

Depth-camera angle correction helps robot welders tune work and travel angles in real time while compensating for plate tilt.

A positioning-guided cutter severs tape material while keeping the removable liner intact for faster, more consistent automated tape application.

A neural network predicts future target states from delayed wireless measurements, preserving control stability and precision under latency.

Force-guided teaching is combined with automatic angle correction so robot fingers align accurately for insertion and other direction-sensitive tasks.

A single camera maps human hand and workpiece motion into robot gripper commands, cutting teaching time and setup cost for pick-and-place tasks.

Unified whole-body control coordinates a quadruped robot and arm to maintain stability, precision, and terrain adaptability under multi-task loads.

X-ray scans, optical sensing, and a virtual wood model guide robotic removal of embedded threaded and non-threaded fasteners.

Using spheres between concave and convex rotators, this case cuts backlash in nonparallel-axis transmission for more precise robot hand motion.

A reconfigurable mobile robot combines goods delivery and personal transport to ease congestion and improve last-mile asset use.

Repeated disturbance monitoring reshapes robot speed by path section, improving collaborative safety, productivity, and wear control.

Belief-space control and neural networks guide robotic pressing and lifting to identify mass, height, and friction with fewer hand-engineered rules.

Coordinating robot pick-and-place with conveyor movement cuts film-web waiting time and raises food packaging throughput without losing placement accuracy.

A camera-guided welding torch detects seam position and stitch boundaries to adjust parameters in real time for more precise pipe welds.

A rigid coupling and force-sensitive 3D/6D input enable one-handed robot arm guidance while maintaining safety without extra sensors.

When visual tracking fails, the robot predicts user movement direction to recover its path and continue following despite obstacles or poor images.

3D sensor mapping lets a welding robot find seams, plan collision-free paths, and weld accurately without manual programming.

By combining PLC, robot, and image processing in one controller, this case cuts transmission delay and simplifies factory automation programming.

Smart posts use semantic analysis and sensing inputs to reconfigure crowd barriers in real time, reducing manual intervention.

Real-time tissue displacement, strain, and temperature sensing slows robotic tool advance to improve surgical positioning and reduce tissue damage.

A camera-guided robot detects non-primary user interruptions and uses feedback motion to keep the active session with the intended user.

Screen-captured pick instructions let robots work at existing picking stations without warehouse software changes, cutting integration cost and downtime.

Feedback from the robot identifies which instruction apparatus holds control rights, reducing operator confusion in multi-robot factories.

In-situ intelligence combines SLAM, object prediction, and adaptive autonomy to keep tele-robots moving through dynamic environments.

A segmented foot-and-elbow lever layout cuts bearing moment loads, giving chip-removal robots longer life and stable multi-tool machining.

Combining worker motion modeling with electrical change detection, this case shows how robots can detect contact and avoid fence-free accidents.

Reconfigurable display panels coordinate endoscopic views and software apps in robotic surgery, reducing oversight and improving workflow.

An articulated bearing lets the screwdriving unit pivot under high contact pressure, keeping screws perpendicular and torque values accurate.

Optical sensing and weight checks guide blind pick-and-place retrieval of mixed dispensable units while improving dispensing control and hazard alerts.

A hydraulic filament artificial muscle gripper combines helical conformability with variable stiffness to lift heavy loads and handle irregular objects.

By delaying robot action control to match image display timing, this case reduces visual-tactile mismatch in remote operation.

Sectioned sensor streams are clustered by operating condition to predict mode-specific malfunctions and avoid unnecessary maintenance stops.

A three-axis gimbal handle uses a four-bar linkage and releasable connector to improve robotic surgical control while reducing clinician fatigue.

An elastic flange-to-counterflange coupling simplifies transmission assembly while absorbing short-term load peaks and enabling non-destructive maintenance.

A sensor mat tracks deposited items and signals FIFO retrieval, keeping upstream and downstream stations running during line desynchronization.

Camera feedback calculates clip position and inclination so the robot hand can correct alignment and place clips accurately on a stringer.

Margin-time scheduling assigns avoidance actions only to work subjects with enough buffer, preventing interference without delaying production.

Graphical HMI monitoring and input emulation let heterogeneous machines be coordinated without rewiring or recoding for lot size 1 production.

3D vision and grasp-success planning let multiple robots singulate mixed items while avoiding conflicts and reducing manual parcel handling.

User-taught posture instructions are stored, then used in learning mode to derive control modes that let a robot gain new functions.

A single ultrasonic module detects both cleaning boundaries and obstacles, cutting sensor count, control complexity, and robot size.

Coordinated guide, table, cooking, and serving robots use a control server to adapt task allocation to changing customer movement and order flow.

Table-based control settings adjust followability and end criteria by object weight to improve robot conveyance accuracy and work time.

A string-shaped coupling member keeps a robot speed reducer attached during displacement or damage, improving retention reliability without casing changes.

Redundant shared degrees of freedom let surgical robotic arms avoid collisions while preserving tool pose and the remote center of movement.

Precomputed control instructions from human-guided tasks and sensor data shorten robot training and improve autonomous adaptation.

Precomputed manipulability maps help a robot hand choose reachable holding postures for varied objects while reducing real-time planning delays.

Real-time joint angle compensation lets a massage robot adapt trajectory and force to body curvature for more precise, effective treatment.

Sensor and elevator-state feedback let autonomous robots choose boarding positions that avoid overload and reduce passenger disruption.

An ML model maps object and environment states to success ranges, letting robots choose interaction-specific control routines without disrupting others.

Unique workpiece IDs are linked to manufacturing history across multiple machine modules, improving traceability for quality control.

Recorded successful execution steps are matched to failed RPA tasks to identify causes, apply fixes, and update workflows against repeat failures.

Soft robots disperse in floodwater, share victim locations, and assemble into connected flotation units for safer multi-victim rescue.

Force-guided rubbing and image-based position selection remove micrometer-scale surface errors while preserving lubrication on precision plane surfaces.

Pitch intervals are set from spray parameters to simulate coating results in advance, reducing robot teaching trial and error.

Automatic API-based upload moves selected automations into a user's workspace, cutting manual RPA provisioning time and improving visibility.

A ball screw-driven cam actuator applies bidirectional joint force without bulky, failure-prone tensile members, improving exoskeleton control.

A rotating LiDAR on the robot arm measures object height and position, enabling faster, more accurate palletizing and depalletizing.

Distributed 3D sensors track occupied and occluded regions to update safe zones in real time, improving human-machine workspace efficiency.

Estimated camera pose drives a virtual robot view to correct teaching points when robot-camera alignment deviates.

Dual alternating maps improve robot pose accuracy in LiDAR SLAM while avoiding frequent sub-map reconstruction and excess computation.

A dynamically balanced single-hand controller combines independent control members and forearm support to deliver precise 6DoF input with low cross-coupling.

Autonomous robot docking moves materials directly to workstation conveyor lines, avoiding manual transport and shared-line bottlenecks.

Mating datums on two robot arms establishes their spatial relationship, cutting setup measurements while enabling flexible positioning.

A base-mounted motor and linked ball screws keep moving mass low, enabling faster extension, longer stroke, and easier cable handling.

Stacked artificial muscles use interleaved platforms and electrostatic fluid actuation to raise collective force in a compact footprint.

Multiple null-space objectives are consolidated to steer redundant manipulator joints, reducing collisions and unnecessary arm motion during surgery.

Conditional brake release and re-actuation let a contacted robot arm restart work while preventing unintended motion after object contact.

Facial and voice data build a cognitive state profile so a robot can adapt stimuli in real time and improve engagement and learning.

Kinect sensing and pneumatic artificial muscles replace complex joint drives to improve remote hand control accuracy with lower friction and energy use.

Adjustable actuator angles, reinforcement layers, and gripping pads help soft robots handle varied object shapes with more force and stability.

Element-by-element environment updates cut transmission load while keeping a remote robot inspection model accurate under high-latency links.

Independent holding portions and an absorption member let support members shift and reset, reducing workpiece strain from backlash and inertia.

Annotation-free sensorimotor imitation lets robots learn visual attention and skills in real time while reducing human teaching load.

Force-controlled robot transfer pulls or pushes workpieces off a process line for guided positioning without precise conveyor timing or complex sensors.

An encoder nested inside a robot joint protects angle sensing from external shocks while keeping the rotational structure compact and lightweight.

Multiple learning models score operation candidates by task, cutting retraining data and time when new robot operations are added.

Build indoor robot topological maps from floorplans and physical coordinates, then adjust paths with collision avoidance for safer navigation.

Proximity sensing tracks suction pad deformation and spring constant changes to detect wear early and avoid unexpected production stops.

Detectors track robot position and bearing so a controller can reconfigure multi-robot cells and update safe operator paths in real time.

Autonomous shuttles turn under racks, cross aisles, and climb columns to raise warehouse throughput without costly infrastructure replacement.

Smart posts use sensors, movement, and lockable bands to self-reconfigure crowd barriers and adapt information display to real-time conditions.

Worker-state and robot-signal models detect anomalies early and adapt robot actions to maintain manufacturing speed and quality.

Interconnected inflatable chambers and an inextensible layer enable lightweight prosthetic fingers to bend at lower pressure with natural hand motion.

Calculated setup boundaries guide robotic arm positioning so surgical instruments reach the target region without collisions.

Distance sensors and position tracking let the mower detect region escape, return by the shortest path, and resume mowing with fewer skipped areas.

User ID and server-based destination data let an airport baggage robot route through inspection points and carry luggage securely.

A floating-piston double cylinder synchronizes joint interfaces for smoother exoskeleton motion while limiting unwanted sliding near ankle and knee joints.

A robotic arm buys and scratches physical lottery tickets from live mobile commands, preserving compliance and real-time user feedback.

Electronic synchronization links O-ring discharge, retainer indexing, and robotic pick-up to speed mass production and reduce handling errors.

A force-vector control approach lets a robot keep tracking a target person while dodging obstacles in crowded, dynamic spaces.

A spring-preloaded friction pad lets a legged robot transmission slip under overload, cutting joint inertia while preserving torque response.

Historical sensor data guides mobile robots around dynamic obstacles and varying surfaces while updating routes to save battery and improve safety.

A support arm stabilizes the working arm during heavy or one-handed object handling, cutting vibration without requiring a larger motor.

Multiple time-of-flight sensors replace ultrasonic sensing to capture 3D object profiles and motion paths for faster robot reactions.

Machine vision and IoT-guided drones map anchor points and add tethers in real time to reduce worker fall risk.

A pin-based rotation lock lets tool arm links move freely for positioning, then lock in place to prevent unintended tool movement.

Onboard magnetometer, gyroscope, and accelerometer data let multiple robots self-align to target orientation and position for coordinated swarm motion.

Zone-assigned robots rebalance coverage when units leave to transport users, combining urban mobility with security, advertising, and cleaning.

Sensors validate fire or collision hazards, then inflate a stored fabric shield to cover the cobot and reduce emergency damage.

Image-guided active alignment with conveyor fixtures improves optical module assembly accuracy and throughput across multiple work positions.

A worm drive and lever arm convert rotation into end-effector motion with fewer parts, low friction, high torque, and easier maintenance.

Compact revolute and prismatic manipulators bend orthodontic archwires in six degrees of freedom for accurate single-step shaping.

Adaptive multipath wireless links use robot sensitivity and path quality to keep cloud robot control stable without wasting radio resources.

Offline path planning converts 3D models into collision-free g-code for multi-axis robotic additive manufacturing with coordinated motion and power control.

Crowd density and motion sensing guide robot route selection through unregulated pedestrian spaces, avoiding dense zones and stalls.

Multiple shape-specific neural networks combine reliability scores to detect unknown object positions with less robot teaching effort.

Scheduled copying of real-time robot control data to a downstream buffer enables full monitoring without disrupting loop timing or exposing private data.

Connecting mass center positions at switching moments creates a stable equivalent trajectory for more accurate biped robot positioning and control.

Robots shift from periodic checks to real-time recording when critical conditions arise, improving facility safety and response speed.

Feedback current and observed waiting time are used to adapt chuck grasp and release timing, shortening workpiece transfer without scratching.

Dynamic tool selection and magnetic coupling help robotic arms handle mixed objects faster while reducing tool-change downtime and damage.

Automatically executes switching point actions during manipulator reverse and return movements to keep clamps and process control synchronized.

Direct height input lets a link actuator position its distal end on 3D workpieces faster, without difficult 2D coordinate entry.

Semantic sensing distinguishes carried workpieces from nearby objects and humans, enabling dynamic robot safe zones with less wasted floor space.

RGB-D point clouds train a neural model to predict 3D gripper location and orientation, avoiding costly CAD-based grasp planning.

Position-based reference sensor values help a robot detect entering objects despite environmental disturbances and avoid unnecessary stops.

Point cloud checks at key pick-and-place stages detect abnormalities while preplanned trajectories cut obstacle-avoidance calculation time.

A detachable bracket-and-clamp interface enables low-cost automated fixture changeover for different workpieces with less downtime.

Integrated shaft parts on the actuator casing strengthen robot joint support while reducing casing thickness and overall robot size.

When a non-round robot reaches a wall-following dead end, switching contour-following direction avoids collisions with less planning effort.

Allowing the sole to rotate around the toe or heel helps biped robots climb stairs faster and walk with more human-like gait.

Queued abort segments let a PLC validate and update manipulator motion paths for controlled stops and predictable movement under faults.

Oblique multi-cell beams convert compression into shear force, delivering high actuation stress with low bursting risk in confined spaces.

Spring-biased alignment projections verify object position before gripping, reducing miscontact and improving pick-and-place reliability.

An integrated valve, pneumatic, and control layout makes a fluid rotary joint more compact, lighter, and less prone to fluid channel damage.

A deformable membrane and internal sensor capture contact deformation to recover object pose and force for more precise robotic grasping.

A camera identifies the attached tool, sets matching drive parameters, and disables operation when the wrong tool is mounted.

Order-set analysis recommends the right tote size and count for each fulfillment robot, reducing picking errors and robot idle time.

Sensor feedback lets warehouse robots leave fixed lanes through unoccupied adjacent regions, cutting travel time while preserving collision-aware routing.

Configuring multiple robots and their environments from request parameters expands training data diversity while keeping fleet testing manageable.

AGVs and a processor automate stalk subassembly handling and yarn package loading to keep tufting creels running with less manual labor.

A modular localization and navigation architecture cuts robot host coupling, speeds integration, and supports flexible expansion across platforms.

Separating hexapod metrology from the drive system enables fast, lightweight motion while maintaining six-degree positioning accuracy.

Human detection triggers mobile drive units to stop, slow, or reroute by zone, reducing injury risk without unnecessary downtime.

Real robot torque and motion data are used to optimize virtual inertial parameters, improving dynamic simulation accuracy with lower computation.

Environment imaging locates dirty sub-areas so the robotic cleaner navigates directly to them, avoiding unnecessary sweeping and saving time.

A four-lead-screw gear assembly converts limited robotic arm inputs into precise cable tensioning for surgical instrument pitch and yaw.

Sparse visual maps use keyframes and forward waypoints to guide robotic navigation while cutting memory use and computation versus dense maps.