InOrbit AI delivers large-scale enterprise AI solutions for designing optimized layouts in industrial settings, including warehouses, ensuring minimal travel distances and optimized picking routes.
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InOrbit is a cloud-based, AI-powered robot management platform aimed at optimizing robot operations (RobOps) of various scales. The platform facilitates the smooth deployment, operation, and management of robot fleets through a range of interoperable tools, processes, and practices that streamline robot operations, providing a comprehensive solution for both enterprise users and robot developers.
RobOps Platform: InOrbit offers a standardized platform that simplifies the management of robot fleets across different sites and from various vendors. It includes tools for integration, orchestration, performance analytics, and the resolution of autonomy errors.
AI and Robot Data Insights: The RobOps Copilot allows users to gain insights from robot data using natural language queries, facilitating better decision-making through AI.
Integration Capabilities: The platform integrates seamlessly with existing systems like Warehouse Management Systems, Enterprise Resource Planning, and more. It also supports standards like VDA 5050, enhancing multi-vendor interoperability.
InOrbit Missions: This feature allows users to define, execute, and analyze robot fleets' missions, focusing on performance and traffic management, supporting the orchestration across various vendors.
Real-Time Location Services (RTLS): InOrbit integrates RTLS to track not just robots, but also manual machines and personnel, enhancing operational visibility and safety.
Simulator Integration: For developers, simulations are available through NVIDIA Isaac Sim™, which helps in workflow improvement and mitigation of potential issues before deployment.
For robot developers, InOrbit provides a robust platform through which developers can manage robot operations efficiently:
Developer Support: Developers can integrate InOrbit’s functionalities through APIs and customization options, creating tailored solutions for robot management.
Incident Management: Tools for resolving autonomy incidents are available, helping reduce downtime through advanced analytics and video integrations.
InOrbit Connect Certification: A certification program that ensures interoperability across different robots and systems, thus streamlining integration processes.
Customization Tools: Developers can create custom dashboards and user interfaces with widgets and embeds, enhancing the operational experience.
InOrbit Robot Space: Located in Mountain View, the InOrbit Robot Space serves as a community hub and showroom where individuals can experience the platform in action, see robots work in real environments, and participate in events and educational workshops.
Open Source and Standards Commitment: InOrbit shows a commitment to open-source standards and supports initiatives like the Robot Operations Group (ROG), promoting interoperability and collaboration across the robotics community.
Editions: InOrbit offers different service tiers, including a Free Edition for enthusiasts and small fleets, Standard Edition with additional functionalities, and Enterprise Edition for large-scale operations with advanced support options.
Financial Accessibility: A Software-as-a-Service model with flexible pricing to accommodate scaling operations and a free tier to encourage early-stage companies to adopt robotic technologies without significant upfront investment.
In conclusion, InOrbit facilitates robotic operations by offering a scalable platform that supports efficient robot fleet management, interoperability, and integration into existing business infrastructures. The platform's focus on AI, data insights, and user-friendly operations helps businesses and developers optimize their robotic capabilities effectively.