The latest version of the MOV.AI platform offers a visual IDE, advanced algorithms such as 3D SLAM, simulation tools, scene and behavior editors, an open API framework and more.
Tuesday October 19, 2021, Tel Aviv and Lisbon – MOV.AI today launched its revolutionary Robotics Engine PlatformTM, which allows AMR manufacturers, automation integrators and manufacturers of manual logistics vehicles to quickly build AMRs suitable for 85% dynamic environments. The platform is the latest version of the MOV.AI software.
The Robotics Engine PlatformTM speeds up robot development, ensures deployment success and enables smooth operation and control of robot fleets.
The demand for Autonomous Mobile Robots (AMRs) is exploding. By 2026, The AGV and AMR Market is expected to reach $13.2B with a growth rate of ~35%, according to Research and Markets. In the forklift market, automated vehicles are expected to rise from 1% to 33% in 2030, according to ABI Research.
Despite growing demand, logistic vehicle manufacturers and new players find it hard to develop AMRs and automated logistics vehicles that meet customer expectations.
“Until now, AMR manufacturers had to choose between long and expensive inhouse development and 3rd party black-box solutions with hardware limitations, ” says Motti Kushnir, MOV.AI CEO. “We are changing that. For the first time, companies have everything they need to easily build advanced robots that are simple to deploy and operate. By providing an end-to-end system that contains everything that is needed to create great robot software – whether it’s integrating 3rd party hardware, selecting and integrating advanced autonomy algorithms, visual deployment and operation tools or integration with automation environments – MOV.AI frees manufacturers to focus on what makes them unique.”
“Robot development is complex, and there are very few development tools to speed it up. ROS is great and constantly evolving, but it was built for robotics researchers that do not need to deal with enterprise needs such as quality, versioning or security,” says Limor Schweitzer, CTO and founder of MOV.AI. “We built a platform that non-expert developers can use to pick and choose the functionality they need and easily configure it into their robot software. We also added all the tools needed for the important tasks of deployment and operation.”
New version highlights:
Robot development tools and advanced functional algorithms:
- Visual ROS-based IDE (Integrated Development Environment)
- An open plugin framework that allows developers to easily integrate MOV.AI and 3rd party off-the-shelf algorithms and drivers.
- Advanced autonomy algorithms:
- 3D SLAM Localization – enabling +-2 cm localization accuracy in 85% dynamic environments.
- Autonomous navigation – ensures safety and optimal movement in highly dynamic environments by continuously adjusting the path plan according to real time data.
- Automated obstacle avoidance and Risk prevention – integrates advanced sensing and localization with autonomous navigation and control to reduce the risks involved in highly dynamic environments.
- Automated sensor calibration to ensure accuracy and avoid degradation due to accidents, vibrations, or sudden temperature changes.
- 3D physics simulator – integrated into the MOV.AI IDE. Speed up development without compromising on quality by testing robot software without the need for a physical robot.
- Enterprise-grade software tools – debugging, versioning, CI/CD and security, all available directly in the IDE.
Integrated deployment tools
- Scene editor – easily define an operational layer – zones, keypoints, virtual paths and more – for behavior planning and real time decision making.
- Behavior editor – a visual interface that allows robot mission automation.
- Task management – define tasks using task and data templates, enabling the automatic generation of hundreds of task instances and integrating them with the scene.
- Integrations – with the automation environment and with legacy hardware and external sensors and actuators. Share data with diverse sources.
Tools for Robot and robot fleet operation
- Interruption-free software updates and cybersecurity updates
- Task Control – ad hoc prioritization to meet changing demands
- Fleet management
- Analytics, alerts and calls to action