GITNUXSOFTWARE REVIEW
AI In IndustryTop 10 Best Robot Controller Software of 2026
Top 10 robot controller software roundup ranks KUKA.Sim, Yaskawa MotoSim, and OCTOPUZ by features, licensing, and control coverage for buyers.
How we ranked these tools
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Framework: Features 40% · Ease 30% · Value 30%
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KUKA.Sim is the best pick for engineering teams validating KUKA-aligned motion and offline programming before deployment because its offline edits map tightly to KUKA controller program conventions, whereas OCTOPUZ suits cell-aware manufacturing work like welding and machining since it couples trajectory review with I/O and cell context for commissioning feedback.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
KUKA.Sim
Tight mapping from offline robot motion edits to KUKA controller program conventions for iterative deployment.
Best for: Fits when engineering teams need KUKA-aligned offline programming validation before robot program deployment.
Yaskawa MotoSim
Editor pickYaskawa-centric robot program simulation that mirrors controller execution workflow and program file usage.
Best for: Fits when Yaskawa robot programs need offline validation before controller deployment.
OCTOPUZ
Editor pickCell-aware motion and process simulation that couples trajectory review with I/O and cell context for commissioning feedback.
Best for: Fits when teams need repeatable, cell-aware robot program review before controller deployment.
Comparison Table
KUKA.Sim
enterpriseKUKA.Sim supports virtual robot-cell planning, simulation, and offline programming for KUKA robots.
Tight mapping from offline robot motion edits to KUKA controller program conventions for iterative deployment.
KUKA.Sim is used to model a robot cell, place tooling and workpieces in defined frames, and simulate robot motions that follow programmed trajectories. The workflow centers on motion candidate generation from planned paths, then iterative validation through collision detection against the modeled geometry. For robot controller preparation, it emphasizes converting offline edits into controller-ready program artifacts aligned with KUKA execution expectations.
A tradeoff appears in the depth of controller alignment, since KUKA.Sim simulation fidelity is most straightforward when the project uses KUKA robots and KUKA-aligned cell conventions. The best usage situation is pre-deployment iteration where cycle-time assumptions, safety zone behavior, and tooling reach limits must be reviewed through repeated simulation runs before sending changes to the robot program.
- +Collision detection tied to KUKA cell geometry for early risk reduction
- +Frame-based base and tool coordinate handling for consistent motion reproduction
- +Offline motion iteration that maps cleanly to KUKA controller workflows
- +Coordinated motion validation for multi-axis and synchronized cell behaviors
- –Best results require KUKA robot and cell conventions for motion fidelity
- –Advanced model setup takes time when geometry and frames start incomplete
- –Controller-edge behaviors may require additional KUKA-specific configuration to mirror
Robotics engineering teams
Validate motion and tool reach offline
Fewer controller commissioning surprises
Automation integrators
Iterate robot programs before shop-floor rollout
Faster change cycles
Show 1 more scenario
Manufacturing engineering leads
Review cycle logic with cell constraints
Lower offline-to-online rework
Leads use simulated cell behavior and collision checks to sanity-check tooling paths and coordinated timing constraints.
Best for: Fits when engineering teams need KUKA-aligned offline programming validation before robot program deployment.
Yaskawa MotoSim
enterpriseMotoSim provides simulation and offline programming for Yaskawa Motoman robot systems.
Yaskawa-centric robot program simulation that mirrors controller execution workflow and program file usage.
MotoSim fits teams that already develop with Yaskawa robot controllers and need a simulation loop that matches controller behavior more closely than general simulators. Offline programming and program file handling support iterative edits to robot programs without tying every change to a live robot run. Simulation coverage is oriented toward validating motion behavior and program structure for robot cell control workflows.
A practical tradeoff is that MotoSim value increases when the target cell and robot code path align with Yaskawa conventions, because cross-vendor workflows demand extra modeling and translation. It works best when engineers iterate on motion routines, tool center point orientation effects, and process sequences in a test-to-deploy pipeline.
- +Offline programming workflow matches Yaskawa robot program handling
- +Simulation feedback tightens the loop before running on the controller
- +Cell-level context supports coordinated motion reasoning
- +Program file centric workflow aligns with controller execution practice
- –Best results depend on aligning models with Yaskawa robot conventions
- –Complex cell modeling can become time consuming without reusable setups
- –Advanced automation and external orchestration require disciplined workflow design
- –Cross-ecosystem integration may be narrower than controller-neutral simulators
Robotics engineers
Validate motion changes offline
Fewer controller run iterations
Automation programmers
Triage teach pendant edits
Reduced on-robot debugging
Show 1 more scenario
Systems integrators
Stage commissioning with process logic
Smoother site commissioning
Integrators use offline program simulation to de-risk early commissioning steps for coordinated cell tasks.
Best for: Fits when Yaskawa robot programs need offline validation before controller deployment.
OCTOPUZ
vertical specialistOCTOPUZ provides offline programming and simulation for robotic welding, cutting, machining, and other processes.
Cell-aware motion and process simulation that couples trajectory review with I/O and cell context for commissioning feedback.
OCTOPUZ is typically used when robot program review needs to include both motion playback and cell context, not only joint-space paths. The project workflow supports iterative changes with immediate re-simulation, which helps teams compare intended trajectories against production constraints. It also supports robot controller-oriented program outputs so engineering changes can move from simulation review into execution workflows without rebuilding everything from scratch.
A common tradeoff is that strong cell modeling effort is required to get accurate timing and collision-related confidence from the simulation view. OCTOPUZ fits teams doing recurring commissioning and changeovers where robot programs and cell logic evolve, and where engineers need a repeatable review loop that catches issues before plant-floor deployment.
- +Cell-aware simulation ties motion playback to production behavior
- +Graphical program review reduces rework during commissioning loops
- +Outputs align simulation intent with controller-ready program artifacts
- +Good fit for recurring edits across robot projects
- –Accurate results depend on detailed cell and tool setup
- –Advanced workflows can require training for consistent modeling
- –Complex cell logic may need external coordination beyond the editor
- –Large projects can slow iteration during frequent re-simulation
Robotics engineering teams
Review trajectories with cell context
Fewer commissioning iterations
Automation programmers
Iterate robot programs across changes
Reduced rework cycles
Show 1 more scenario
Controls engineers
Coordinate robot motion with cell logic
More predictable startup
Workflow supports mapping controller-oriented behavior to the simulated cell so PLC-driven steps match motion.
Best for: Fits when teams need repeatable, cell-aware robot program review before controller deployment.
RoboDK
API-firstRoboDK provides offline robot programming, simulation, and post-processor support for industrial robots.
RoboDK station workflow with collision-aware path validation and controller-specific program export from the same project.
RoboDK is a robot programming and controller companion that pairs offline programming with a simulation-first workflow for industrial arms. It builds a robot simulation project around kinematics, tool and work object frames, and collision-aware path generation, then exports robot program files for execution on real controllers.
- +Offline station workflow links modeling, path creation, and execution handoff
- +Collision checking and motion validation reduce rework during bring-up
- +Python automation supports custom conversions and batch station generation
- +Strong kinematics and frames handling for tool and work object setup
- –Controller execution behavior depends on correct driver mapping and parameters
- –Advanced cell logic needs scripting and external orchestration for full automation
- –Collision results can require tuning of geometry fidelity and safety assumptions
- –Large multi-robot scenes can slow authoring when graphics and checks are heavy
Best for: Fits when teams need simulation-backed offline programming with repeatable program generation for multiple robot brands.
FANUC ROBOGUIDE
enterpriseROBOGUIDE simulates FANUC robot cells and supports offline programming and process validation.
ROBOGUIDE’s FANUC controller mapping keeps offline motion and program constructs aligned to teach pendant execution.
FANUC ROBOGUIDE performs offline robot programming and simulation tied to FANUC controller workflows for motion validation. It supports building robot programs with teach pendant style constructs and running a plant-side simulation model to check reach, collisions, and process timing.
- +Controller-aligned offline programming that matches FANUC robot workflows
- +Collision-focused simulation helps catch cell layout mistakes before deployment
- +Work object and tool setup flows reduce friction when moving between stations
- +Cycle-time oriented previews support planning around motion and process steps
- –Project fidelity depends on maintaining consistent robot, tool, and cell data
- –Advanced automation and API extensibility is limited compared with general-purpose orchestrators
- –Multi-robot coordination requires careful scene and program organization
- –Non-FANUC integration paths can force extra engineering to bridge gaps
Best for: Fits when FANUC-centric teams need offline validation and cell motion checks without shifting control architecture.
ABB RobotStudio
enterpriseRobotStudio provides simulation, offline programming, and digital commissioning for ABB robots.
The RobotStudio controller project workflow links offline program authoring directly to ABB controller execution artifacts, tightening commissioning handoffs.
ABB RobotStudio is an offline robot programming and simulation environment tailored to ABB robot workflows, with model-based validation driven by the digital cell and robot system configuration. It supports offline creation, editing, and testing of robot programs and then connects those programs to a deployable controller project for execution in a real robot cell.
- +Strong offline workflow for ABB program authoring and simulation
- +Project-based organization for robot, cell, and controller deployment alignment
- +Motion preview supports coordinated path checking before execution
- +ABB controller integration reduces handoff gaps during commissioning
- –Deep ABB-centric setup limits portability to mixed-vendor controller stacks
- –Advanced automation tasks require familiarity with ABB program structures
- –External tooling integration depends on connector availability for target I O
- –Large digital cell simulations can slow editing and playback
Best for: Fits when ABB-centric teams need offline programming plus simulation-driven validation for repeatable robot-cell deployments.
Delfoi Robotics
vertical specialistDelfoi Robotics provides offline programming, simulation, and production planning for robotic manufacturing.
Runtime workflow orchestration that ties program execution and device coordination into a single controller-side operation model.
Delfoi Robotics pairs a robot controller software layer with workflow-driven cell operation so teams can manage programs, devices, and runtime interactions from one place. It focuses on practical integration with industrial automation environments by coordinating robot execution with external signals and controller-side responsibilities.
- +Strong cell orchestration focus around controller runtime behavior
- +Integration pathways for coordinating robot execution with external automation
- +Configuration-driven workflows reduce controller-side manual steps
- +Clear separation between robot program handling and device coordination
- –Motion tuning still demands controller expertise and project-specific setup
- –API depth for custom logic feels narrower than PLC scripting workflows
- –Granular diagnostics require understanding the controller execution model
- –Large multi-cell deployments can need careful configuration management
Best for: Fits when robot-cell engineers need controller-centered orchestration and external-signal coordination without building everything in PLC code.
READY ForgeOS
API-firstForgeOS provides a hardware and software platform for configuring and controlling industrial robot workcells.
ForgeOS workflow orchestration layer that ties controller runtime events to task execution sequences.
READY ForgeOS is a robot controller software stack that focuses on turning shop-floor robot workflows into repeatable execution with operator-facing configuration. It centers on coordinating robot cell control behaviors, managing robot motion program assets, and integrating with industrial control systems for consistent runtime behavior.
- +API-focused integration for controller-side workflow automation
- +Cell control tooling for orchestrating multi-step robot operations
- +Configuration-driven task execution that reduces operator variability
- +Good fit for governed runtime behavior across cell components
- –Motion customization depends on how robot programs are authored
- –Commissioning can require more controller-to-cell plumbing than expected
- –Fine-grained safety zone tuning may be limited by supported workflow primitives
- –Extensibility choices can funnel teams toward specific integration patterns
Best for: Fits when engineering teams need governed robot cell workflows with an API surface for external tooling.
SprutCAM Robot
vertical specialistSprutCAM Robot combines CAM, robot simulation, collision checking, and post-processing.
Work object frame and tool center point driven motion generation designed for fixture-consistent execution.
SprutCAM Robot converts CAD-driven planning into executable robot controller instructions and then helps manage the robot cell setup needed for consistent runs.
- +Offline workflow that outputs controller-ready robot program files
- +Work object frame and tool center point handling for repeatable fixtures
- +Trajectory generation tuned for coordinated motion along CAD toolpaths
- +Simulation-centric setup to reduce rework before robot deployment
- –Robot cell setup and collision context require disciplined scene modeling
- –Integration depth with external PLC logic can feel indirect for some stacks
- –Teach pendant style adjustments are not the primary workflow
- –Project organization can become cumbersome on multi-robot programs
Best for: Fits when offline programming is the production workflow and CAD toolpaths must become repeatable robot programs.
Wandelbots NOVA
API-firstWandelbots NOVA provides a software platform for robot programming, orchestration, and application deployment.
NOVA’s end-to-end motion-to-execution workflow keeps commissioning edits traceable through the same operational lifecycle.
Wandelbots NOVA targets robotics teams that need robot cell control from a higher-level motion and task workflow, not just teach pendant programming. It centers on creating and managing robot motion plans and execution states with tight feedback loops for commissioning and change control.
- +Centralizes robot motion workflow for repeatable commissioning
- +Clear execution lifecycle from planning to running on the cell
- +Tuning-oriented iteration loops to reduce redeploy cycles
- +Extensibility via integration interfaces for cell-level coordination
- –Programming model can require retraining for existing controller-centric habits
- –Advanced collision and safety behavior depends on correct cell configuration
- –Integration depth varies by target controller and industrial communication setup
- –Complex job logic can outgrow the UI for some workflows
Best for: Fits when robotics teams need higher-level task and motion orchestration with controlled commissioning changes across multiple cells.
Conclusion
After evaluating 10 robot controller software, KUKA.Sim stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Robot Controller Software
Robot controller software in this guide covers KUKA.Sim, Yaskawa MotoSim, OCTOPUZ, RoboDK, FANUC ROBOGUIDE, ABB RobotStudio, Delfoi Robotics, READY ForgeOS, SprutCAM Robot, and Wandelbots NOVA. These tools span offline-to-controller workflows, controller-aligned program constructs, and cell-aware execution reviews that map motion intent to what operators run in the robot cell.
The buying decisions in this guide focus on how each platform handles motion and execution fidelity before deployment, and how each platform supports automation through integration and runtime orchestration. The guide also separates tools built around vendor-aligned controller conventions from tools that act as a higher-level orchestration layer across multiple cells.
Robot Controller Software for offline-to-controller motion validation and cell execution orchestration
Robot controller software coordinates how robot programs move from authoring to controller-side execution, with emphasis on motion playback fidelity, coordinate consistency, and repeatable program handoffs. Many teams use tools like KUKA.Sim and RoboDK to validate collision-aware paths and robot program constructs before controller deployment. KUKA.Sim ties offline motion edits to KUKA controller program conventions, which reduces translation gaps when iterating toward deployment-ready robot programs. RoboDK uses a station workflow that keeps modeling, path creation, and controller-specific program export inside the same project, which helps teams generate repeatable robot program files across multiple robot brands.
Across the lineup, the key differentiator is how tightly the software maps motion and execution constructs to the controller workflow, versus how much it abstracts robot-cell behavior into a runtime orchestration layer. Tools such as READY ForgeOS and Delfoi Robotics lean toward controller-side workflow orchestration, which shifts value toward governed task execution sequences and external coordination rather than only motion authoring. Teams also evaluate whether cell geometry, tool coordinate handling, and motion validation stay consistent enough to support commissioning loops with fewer rework cycles.
Robot-to-controller fidelity, automation surface, and governance controls that matter
Robot controller software succeeds when offline motion edits stay consistent with what the controller executes, including how cell geometry, coordinate frames, and program constructs translate into runtime behavior. Teams also lose time when the automation surface forces manual rework between modeling, program generation, and execution handoffs.
Controller-convention mapping from offline edits to controller program constructs
KUKA.Sim keeps iterative motion edits aligned with KUKA controller program conventions so commissioning teams can validate changes before controller deployment. FANUC ROBOGUIDE mirrors FANUC controller mapping so offline motion and program constructs match teach pendant execution patterns.
Station or project workflow that preserves controller-ready handoffs
RoboDK uses a station workflow that links modeling, path creation, and controller-specific program export from the same project. ABB RobotStudio organizes robot, cell, and controller deployment artifacts in a project workflow that tightens handoffs between offline authoring and ABB controller execution.
Cell-aware simulation tied to execution context and feedback loops
OCTOPUZ couples trajectory review with I/O and cell context so motion playback connects to commissioning behavior rather than only geometry. KUKA.Sim links collision detection to KUKA cell geometry so early risk reduction happens when frames and cell details are still being refined.
Automation and API surface for controller-side workflow orchestration
READY ForgeOS exposes an API-focused workflow orchestration layer that ties controller runtime events to task execution sequences. Delfoi Robotics provides controller-centered orchestration that coordinates robot execution with external automation without pushing everything into PLC code.
Coordinate handling for repeatable fixtures and consistent robot motion
SprutCAM Robot generates controller-ready programs driven by work object frame handling and tool center point motion generation for fixture-consistent execution. KUKA.Sim also relies on frame-based base and tool coordinate handling to keep motion reproduction consistent across iterations.
Integration constraints that show up when models do not match controller conventions
Yaskawa MotoSim depends on aligning models with Yaskawa robot conventions to keep its offline workflow aligned with Yaskawa program handling. Wandelbots NOVA depends on correct cell configuration for advanced collision and safety behavior to reflect real execution limits.
A decision framework for Robot Controller Software that stays faithful through commissioning
Start by deciding whether the work centers on offline programming validation that exports controller-aligned constructs or on controller-side orchestration that governs multi-step execution. This choice determines whether the purchase should optimize motion-to-controller mapping or runtime workflow control.
Choose the fidelity strategy based on your change pattern during commissioning
If commissioning edits repeatedly touch how motion constructs map into a specific controller program style, KUKA.Sim or FANUC ROBOGUIDE fit best because both keep offline edits aligned to controller conventions. If commissioning changes focus on connecting motion playback to production behavior, OCTOPUZ fits better because it ties trajectory review to I/O and cell context.
Pick the workflow shape that matches how your programs get authored and handed off
Select RoboDK when the same modeling and path plan must drive controller-specific program export across multiple robot brands from one station workflow. Select ABB RobotStudio when robot, cell, and controller execution artifacts must stay organized together in a controller-project workflow for repeatable ABB deployments.
Select orchestration depth based on where external equipment coordination belongs
Choose READY ForgeOS when robot runtime events must trigger governed task sequences through an API integration surface that external tooling can hook into. Choose Delfoi Robotics when controller-side runtime orchestration should coordinate device signals without pushing complex sequencing into PLC scripting.
Validate coordinate discipline if fixtures and tools change across production
If fixture repeatability depends on work object frame handling and tool center point driven motion generation, SprutCAM Robot matches the production workflow with repeatable robot programs. If the plant standardizes on consistent base and tool frames for reproduction, KUKA.Sim helps keep motion fidelity consistent across edits.
Plan for model setup time when cell geometry or conventions are incomplete
Choose Yaskawa MotoSim when Yaskawa-aligned models and reusable setups are available because complex cell modeling becomes time consuming when reuse is limited. Choose RoboDK when the team can manage driver mapping and parameters carefully because controller execution behavior depends on correct mapping for fidelity.
Confirm learning curve tradeoffs for controller-centric vs higher-level orchestration models
If engineers already operate with controller-centric habits, FANUC ROBOGUIDE reduces disruption because controller mapping stays aligned to teach pendant workflows. If teams prefer a higher-level motion-to-execution lifecycle that keeps commissioning edits traceable, Wandelbots NOVA fits when retraining time is acceptable.
Who benefits from Robot Controller Software built for fidelity and orchestration
Robotics engineers benefit most when the software keeps motion validation aligned with the controller program constructs that operators and maintenance staff rely on. Automation engineers also benefit when controller-side orchestration exposes an integration surface that reduces hand-coded glue between robot programs and external systems.
Robotics engineers standardizing on a single vendor controller workflow
KUKA.Sim targets KUKA controller program conventions and helps teams validate iterative motion edits before deployment. FANUC ROBOGUIDE maps offline constructs to FANUC teach pendant execution patterns.
Robotics cell engineers coordinating motion with I/O and production behavior
OCTOPUZ connects trajectory review to cell context and I/O so commissioning feedback reflects runtime behavior. READY ForgeOS coordinates controller runtime events with task execution sequences through an API-oriented orchestration layer.
Controls engineers who need repeatable program generation across robot brands
RoboDK exports controller-specific programs from a station workflow that links modeling, path creation, and execution handoff. RoboDK reduces cross-brand rework when driver mapping and parameters are managed with care.
Manufacturing teams running fixture-heavy production with frequent tool and work object changes
SprutCAM Robot generates controller-ready programs driven by work object frame and tool center point handling for fixture-consistent execution. KUKA.Sim also uses base and tool coordinate handling that supports consistent reproduction when frames remain disciplined.
Commissioning teams deploying ABB-controlled robot cells repeatedly
ABB RobotStudio ties offline program authoring to ABB controller execution artifacts using a controller project workflow. That project organization helps teams keep robot, cell, and controller deployment alignment repeatable.
Common pitfalls when buying Robot Controller Software for controller-faithful deployment
Buyers often overestimate how accurate simulation will be when the team underinvests in model alignment. They also misjudge where orchestration should live, which creates duplication between controller-side logic and PLC code.
Assuming controller fidelity exists even when coordinate frames and cell conventions are incomplete
KUKA.Sim produces best results when KUKA robot and cell conventions match the models used for offline edits. Wandelbots NOVA also depends on correct cell configuration for advanced collision and safety behavior to reflect real execution.
Picking a tool for simulation only, then discovering the execution handoff still needs custom glue code
RoboDK can require careful driver mapping and parameter setup to match controller execution behavior. Delfoi Robotics provides controller-side orchestration focus, so missing integration expectations for external sequencing can increase controller-to-cell plumbing effort.
Treating complex automation tasks as something the offline environment will handle without workflow architecture
FANUC ROBOGUIDE keeps offline validation aligned to FANUC constructs but limits advanced automation and API extensibility versus general-purpose orchestrators. ABB RobotStudio supports strong offline workflow and project organization, but deep ABB-centric structures can slow automation tasks if the team is not already familiar with ABB program structures.
Underestimating setup time when cell modeling must be detailed and not reusable
Yaskawa MotoSim can become time consuming when complex cell modeling lacks reusable setups and must be rebuilt for each project. OCTOPUZ requires detailed cell and tool setup for accurate results, which can slow early commissioning loops when scene fidelity is low.
Choosing a fixture-first approach but skipping disciplined work object and TCP conventions
SprutCAM Robot relies on disciplined work object frame and tool center point inputs to generate repeatable controller-ready programs. If the scene modeling discipline is weak, collision context and repeatability degrade in ways that appear late during bring-up.
How analysts verified these Robot Controller Software picks
Analysts gathered the candidate robot controller software tools and then copied each performance and capability figure stated in the original publication. Analysts compared those figures against official documentation and changelogs, then checked independent reviews when a cited review existed.
Analysts kept only figures that matched the documentation and included a published benchmark only when that benchmark was the stated source. KUKA.Sim stood out because the offline-to-controller workflow directly mirrors KUKA controller program conventions for iterative deployment, with collision detection tied to KUKA cell geometry and frame-based base and tool coordinate handling that preserves motion reproduction across revisions.
Frequently Asked Questions About Robot Controller Software
How does KUKA.Sim validate motion candidates before controller deployment?
Which tool is best when offline programming must mirror Yaskawa program-file workflows?
What breaks if cycle validation needs PLC-linked timing and I/O review instead of just collision checking?
How does RoboDK keep station and frame context consistent across robot brands during export?
Which setup fits FANUC-centric teams that want offline validation tied to teach pendant style constructs?
When ABB robot-cell changeovers require linked offline-to-controller packaging, how does RobotStudio help?
What integration style does Delfoi Robotics support when controller-side governance must coordinate external devices?
How does READY ForgeOS expose automation hooks for external engineering and commissioning tools?
Where does SprutCAM Robot fall short compared with offline platforms that translate higher-level motion plans?
What tradeoff appears when commissioning edits must remain traceable through the operational lifecycle?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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