Smarter Fleet Management and Smoother AMR Navigation: What’s New in Model C2 Software Version 3.3
Autonomous mobile robots (AMRs) deliver the greatest value when they are easy to deploy, simple to manage, and dependable in dynamic, real-world environments. That principle guided the development of software version 3.3 for the Quasi Robotics Model C2 Autonomous Mobile Robot, a release focused on fleet management and AMR navigation.
This latest release expands fleet-management capabilities, enhances navigation performance, and gives operators greater control over how Model C2 robots move and respond within their facilities.
Centralized Fleet Operations Through InOrbit
The centerpiece of version 3.3 is integration with the InOrbit robot-operations platform.
Through this integration, Model C2 deployments can connect to an enterprise platform that provides centralized fleet visibility, monitoring, analytics, incident management, and remote operations. Organizations can gain a clearer view of robot activity and operational performance from one unified environment. The InOrbit fleet orchestration overview covers how the partnership works in more detail.
InOrbit’s hardware-agnostic architecture also supports heterogeneous fleets. For facilities operating robotic systems from multiple manufacturers, this creates an opportunity to manage them through a common operational platform rather than relying on separate tools for every vendor.
The capabilities available to each organization – including configurable dashboards, analytics, remote actions, and interoperability with other robotic and enterprise systems – depend on its specific InOrbit configuration.
Configurable Collision Avoidance for AMR Navigation
Every facility has its own traffic patterns, operating requirements, and mix of people, vehicles, equipment, and robots. Version 3.3 introduces configurable collision avoidance, allowing operators to adjust how Model C2 responds to nearby obstacles.
This added flexibility helps organizations align AMR navigation behavior with the realities of their environment. Whether Model C2 is operating in a busy warehouse, a commercial facility, or a structured production area, its response can be configured to better match local conditions.
More Consistent AMR Navigation Around Moving Obstacles
Temporary obstacles should not always require a robot to calculate an entirely new route.
With version 3.3, Model C2 more clearly distinguishes between conditions that require path replanning and dynamic obstacles that can be handled locally by its collision-avoidance system. People, vehicles, and other moving objects are therefore less likely to trigger unnecessary route changes. This builds on the path-validation improvements introduced in the version 3.1 software update.
The result is more stable and predictable AMR navigation in active environments, where conditions can change from one moment to the next.
Improved Straight-Line AMR Navigation
Version 3.3 also includes refinements to Model C2’s motion control, improving the accuracy and consistency of straight-line travel.
This enhancement supports smoother operation in aisles, corridors, and other structured spaces. Although straight-line performance may sound like a small detail, precision and consistency at this level can make a meaningful difference to AMR navigation across hundreds or thousands of movements.
Faster Waypoint and Route Configuration
Operators can now create and edit waypoints directly on the Area Map. This streamlined workflow reduces the number of steps required to establish destinations or modify an existing operation.
The release also adds waypoint lists for routes, enabling operators to see every waypoint assigned to a particular route. This makes routes easier to review, verify, troubleshoot, and maintain as workflows evolve.
Together, these improvements make routine fleet configuration faster and more intuitive.
Consistent Calibration Across Geographic Locations
For organizations operating robots across geographically dispersed sites, version 3.3 introduces local gravity compensation through inertial measurement unit (IMU) calibration.
Because gravitational acceleration varies slightly by location, the new calibration option helps maintain consistent sensor performance across deployments. It is a highly technical enhancement with a straightforward purpose: ensuring Model C2 operates consistently wherever it is deployed.
A More Refined Operator Experience
Version 3.3 includes additional user-interface refinements designed to simplify configuration and improve day-to-day interaction with the system.
These updates support Quasi Robotics’ broader goal of making autonomous material transportation not only capable, but also practical to operate and scale across commercial and industrial environments.
“In version 3.3, we focused on capabilities that make Model C2 fleets easier to operate, configure, and scale,” said Vlad Lebedev, CEO of Quasi Robotics. “The InOrbit integration gives customers access to a broader robot-operations ecosystem, while the navigation and user-interface enhancements make everyday fleet management more efficient.”
Availability
Model C2 software version 3.3 is now available for supported Model C2 robots.
Current and prospective customers can contact Quasi Robotics for deployment assistance, compatibility information, and details about enabling the InOrbit integration.
Contact Quasi Robotics to learn how Model C2 can help automate repetitive material-transportation workflows in your organization.