🔐 Advanced User and Access Management

GT Studio implements comprehensive security through Role-Based Access Control (RBAC), multi-tenant isolation, API key management, and enterprise authentication integration. Teams can define who can view sites, operate robots, edit maps, create workflows, or manage integrations, enabling safe collaboration across operations, engineering, and management functions.

For compliance-driven environments, access activity can be audited, and permissions can be structured to match organizational policies. This reduces the risk of accidental changes and ensures sensitive robotics data remains protected at every layer.

🤖 Intelligent Robot Management

GT Studio provides complete lifecycle management including automated discovery, secure provisioning, real-time telemetry monitoring, and remote control interfaces for safe intervention. Operators can track robot health, connectivity, battery status, mission progress, and subsystem metrics, enabling faster troubleshooting and higher uptime.

Task assignment is flexible: from simple point-to-point commands to structured automation workflows. As fleets grow, GT Studio’s centralized control reduces operational complexity while enabling consistent behavior across robots and sites.

🗺️ Advanced Mapping and Localization

GT Studio supports SLAM-based mapping, real-time map updates, and operational editing. Teams can create navigation-ready environments, define navigation-relevant entities, and update maps when layouts change. Localization tools help recover robots quickly and maintain stable navigation in dynamic spaces.

For complex facilities, GT Studio supports structured operational modeling, including multi-zone navigation logic and the ability to maintain site configurations that match real-world constraints.

🧭 Comprehensive Site Editor

The Site Editor enables precise design and management of operational spaces. Teams can define navigation lanes, docking and charging points, parking locations, restricted zones, speed-regulated areas, and operational constraints. The editor supports 3D visualization so operators can understand the environment intuitively while engineers can configure the site accurately.

When combined with fleet orchestration, these site definitions become enforceable rules that improve safety, reduce congestion, and maintain consistent robot behavior across shifts and operators.

⚙️ Integration Capabilities

GT Studio integrates with external systems using REST APIs, webhooks, MQTT, and extensible plugins. This allows event-driven automation and bidirectional communication with operational tooling, enterprise applications, and edge devices. Integrations are designed to be structured and maintainable so deployments can evolve without constant rewrites.

Whether you need to trigger a mission when a conveyor sensor changes state, synchronize inventory events to a WMS, or notify a third-party system when a task completes, GT Studio provides the infrastructure to do it reliably at production scale.

🧠 Visual State Machine Workflows

GT Studio enables complex automation logic through a visual workflow builder based on state machines. Teams can design sequences that include conditional transitions, error recovery, integration calls, and status reporting. This allows operations teams to configure automation without building entire systems from scratch, while engineering teams retain the ability to extend capabilities through reusable task nodes and plugins.

Execution history, logs, and analytics provide visibility into performance and failure patterns, enabling continuous improvement and reliable scaling across multiple sites.

Field Devices Integration: Sensors, PLCs, Doors, Conveyors, Elevators, and Safety Systems

In real facilities, autonomy depends on tight interaction with the physical world. GT Studio integrates with a wide range of field devices such as PLCs, conveyors, stack lights, barcode and RFID readers, safety scanners, industrial sensors, automated doors, and elevators. This enables robots to move beyond “navigation-only” tasks and execute complete operational sequences that involve machine states, safety conditions, and interlocks.

For example, a robot can request door access, validate clearance from safety sensors, coordinate with conveyor readiness signals, and confirm load presence before leaving a station. These interactions can be implemented through standard industrial protocols and I/O patterns, and exposed into GT Studio workflows as reusable actions, enabling engineering teams to standardize integrations while allowing operations teams to execute them consistently.

This integration approach reduces bespoke wiring logic scattered across edge devices. Instead, GT Studio becomes the coordination layer, keeping operational logic visible, testable, and maintainable while ensuring robots and automation equipment behave as one synchronized system.

WMS Integration: Inventory-Driven Missions, Location Synchronization, and Task Confirmation

GT Studio integrates with Warehouse Management Systems (WMS) to bridge the gap between inventory decisions and robotic execution. A WMS typically knows what needs to move, where it should go, and what priority it carries. GT Studio translates that intent into operational robot missions—selecting robots, planning safe routes, handling site constraints, and updating the WMS with real-time progress and completion confirmations.

When integrated properly, GT Studio can support workflows such as replenishment runs, pick assistance, staging operations, inbound put-away, outbound loading, and internal material transfers. Each task can include structured confirmations such as “arrived at location,” “pickup verified,” “drop complete,” and “exception reported,” improving traceability and reducing discrepancies between physical movement and digital inventory records.

This connection becomes especially valuable at scale, where many tasks are running simultaneously and operational conditions change constantly. GT Studio can feed execution reality back to the WMS so the warehouse stays accurate—not just on paper, but on the ground.

ERP and MES Integration: Business-Connected Robotics Operations

Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES) represent the business and production backbone of modern operations. GT Studio can integrate with ERP/MES to align robotics execution with production plans, procurement, order fulfillment, and operational KPIs. This enables robots to participate directly in larger business processes—like feeding line-side materials based on production consumption, transporting finished goods for dispatch, or moving WIP inventory according to MES schedules.

Instead of treating robots as separate “automation islands,” GT Studio helps companies build connected automation where robotic events become structured business events. This enables accurate reporting and improves decision-making across operations, engineering, and management.

Pallet Management: Mission Logic for Inbound, Put-away, Staging, and Outbound

Pallet movement is one of the highest value automation areas in warehouses and factories. GT Studio supports pallet-driven mission flows that cover the full lifecycle—receiving pallets at inbound points, verifying identity, selecting a destination based on storage rules, executing put-away, managing staging buffers, and supporting outbound loading workflows.

This includes operational patterns such as queue-based staging (where pallets wait at defined buffers), priority-based dispatching (urgent shipments over routine movement), and constraint-aware routing (e.g., heavy pallets restricted to certain lanes, or particular zones reserved for specific SKUs). GT Studio’s workflow logic allows you to encode these rules as reusable automation templates, reducing variability and making complex pallet operations repeatable at scale.

AI Vision: Pallet Detection, Empty Location Detection, Label Reading, and Exception Handling

GT Studio can integrate AI vision systems and perception pipelines to add intelligence beyond traditional sensors. AI vision enables robots or fixed cameras to detect pallets, estimate their pose and orientation, validate whether a pickup is physically possible, and confirm whether a drop location is empty. This is particularly valuable in environments where barcodes or markers are inconsistent, lighting varies, or pallet placement is not perfectly aligned.

With vision-assisted operations, a robot can approach a rack or floor location and verify “empty slot available” before committing to a drop. Similarly, it can confirm that a pallet is actually present before beginning a pickup sequence, reducing failed tasks and improving overall throughput. Vision can also assist with reading labels (barcodes/QR), detecting damage or shrink-wrap anomalies, and flagging exceptions for human review with clear visual evidence.

Importantly, GT Studio treats perception as an operational input, not a standalone add-on. Vision outputs can be connected into workflows and decision logic so the platform can adapt in real time—rerouting, retrying, escalating, or marking locations unavailable based on what the system actually sees.

Fleet Orchestration: Traffic Control, Dynamic Replanning, and High-Throughput Coordination

As fleets grow, simple scheduling is not enough. GT Studio provides orchestration capabilities that manage multi-robot traffic, reduce congestion, handle priority lanes, and support dynamic replanning when conditions change. The platform continuously observes robot positions, mission states, battery levels, and site constraints, using this context to assign tasks intelligently and keep overall flow stable.

When a path becomes blocked, a location becomes unavailable, or a high-priority job arrives, GT Studio can re-evaluate execution plans and reassign tasks to maintain throughput. This orchestration approach improves performance during peak loads, avoids deadlocks, and supports safe, predictable operations even in dense environments with multiple robots interacting around shared resources.

Extensible Integration Architecture: Plugins, Webhooks, MQTT, and Custom Connectors

No two facilities are identical. GT Studio supports extensibility through plugins and integration interfaces that allow teams to connect custom systems without breaking the core platform. Webhooks enable event-driven triggers, MQTT enables lightweight messaging patterns, and REST interfaces enable structured data exchange with enterprise applications and third-party services.

This design ensures GT Studio can evolve with your operation. Whether you’re integrating a new conveyor line, adding new storage zones, connecting a vision system, or linking to a custom WMS process, the platform is built to accommodate growth without locking you into rigid assumptions.

VDA5050 Support

GT Studio supports VDA5050, a widely adopted interface for communication between automated guided vehicles (AGVs/AMRs) and host systems. This makes it easier to operate mixed fleets and enables standardized integration patterns for large and evolving deployments, reducing integration cost and avoiding vendor lock-in.

ISO 27001 Grade Security Approach

GT Studio implements enterprise-grade security principles aligned with ISO 27001-style controls, including strong access management, encryption, secure key handling, and operational auditability. This supports deployments where data sensitivity, compliance requirements, and operational reliability are critical.

Operational Efficiency

GT Studio reduces setup time through automated onboarding and structured configuration workflows, while minimizing downtime with continuous telemetry monitoring and actionable diagnostics. Centralized fleet orchestration improves task throughput by reducing idle time and congestion, and automation workflows enable repeatable task execution across shifts without relying on tribal knowledge.

Enhanced Safety and Reliability

Safety is strengthened through site constraints, controlled access, predictable operational rules, and integration with safety devices and field sensors. GT Studio supports secure communications and auditable operational logs, making it easier to investigate incidents, enforce best practices, and maintain reliable behavior in dynamic environments.

Cost Optimization

Automation reduces manual handling effort and supports better resource utilization through structured scheduling, remote management, and fewer operational errors. The platform’s scalability helps avoid over-provisioning infrastructure, while predictive monitoring and structured exception handling reduce unexpected failures and maintenance overhead.