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AgileX Limo Pro Mobile Robotics
AgileX Limo Pro
LIMO PRO Mobile Robotics integrates the NVIDIA Orin Nano alongside the EAI T-mini Pro LiDAR and Orbbec Dabai depth camera. This enables robust environmental perception and intelligence for autonomous navigation, obstacle avoidance, and visual recognition applications.
Advanced Computing Unit
Equipped with the NVIDIA Orin Nano, it has extremely powerful computing capabilities, enabling more stable multi-sensor data fusion and SLAM mapping.
Precise Sensors
With the EAI T-mini Pro LiDAR and Orbbec Dabai depth camera, the LIMO robot excels in precise mapping, autonomous localization, navigation planning, and dynamic obstacle avoidance. This sensor suite ensures top performance and reliability for complex robotics tasks.
Double the Battery Life
The battery capacity is increased to 10000mAh, which greatly enhances power and operational stability.
Specially-Designed Simulation Table
LIMO comes with a specially designed simulation table. It’s fun and convenient, and the simulation table can help you quickly simulate and test the developing functions in the most realistic scenario possible.
Open Source Support
Supports ROS and Gazebo platforms, compatible with mainstream programming languages like Python and C++. Encourages users to expand or develop robotics applications.presentations, and code samples, simplifying the teaching and learning process
Deep Learning Model Demo
Demo of Deep Learning Models, ROS-Based Mapping, and Navigation showcases how to utilize Jetson Nano for running AI models and integrating with ROS to achieve effective environmental mapping and robot navigation
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NAO6: improved functionalities
Various hardware and software improvements have been made on the NAO robot to make it more powerful.
System features:
- The boot loader UEFI and kernel linux 4,4 64 bits allow a boot more secure, faster and more safe. However, developers who use external libraries in C++ or Linux will have to recompile them in 64 bits.
- A new software architecture has been set up for more safety for the robot.
- Yocto, the new build system allows to separate the embedded OS Linux and the applications building. There is no change for developers in Python but users of external libraries will have to recompile their applications.
- The transition from open CV2 to open CV3 improves the vision performances and picture quality.
- LoLA (Low Level Abstraction) is embedded on the robot and replaces DCM. All DCM dependent applications won’t work anymore but with LoLA, the software is modular and can be removed by developers.
Since de 2.1 version, the Choregraphe software evolved a lot in terms of functionalities and ergonomy:
New panels were added:
- Project objects panel shows the complete boxes tree of the current behavior and navigation between boxes is easier.
- Active content panel lists running behaviors, services and dialog topics that you can stop and restart. Active panel keeps a brief history of the last active contents.
- Inspector panel gives a quicker access to all object’s properties with a 3D preview in case of an animation box.
Panels were improved:
- Box library has been completely reorganized to be more efficient.
- Robot applications now better displays Behaviors, Dialogs and Services.
- Languages: Dialog supports now the 22 languages: Arabic, Czech, Danish, Dutch, English, French, German, Greek, Italian, Japanese, Korean, Chinese, Mandarin Taiwan, Norwegian, Polish, Brazilian, Portuguese, Russian, Spanish, Swedish, Turkish.
- Choice box: simpler, this box is easier to use due to an important optimization.
New tools were added:
- Memory back up is a tool to save robots data. As the factory reset used to remove all APIs, memory back up allows now to restore them.
- Localized text: a new workflow to translate applications that is easier and faster. The method is simplified with a new property in the “SAY” box and a tool provided with the framework that will gather all sentences you need to translate in a ts. File.
- Auto save and recovery allows to recover your modifications in case of crash thanks to a temporary file that where modifications are written automatically.
Autonomy features:
- NAO6 will benefit from Pepper autonomous features like the diagnosis effects, the sleep mode and other autonomous abilities that make it look alive.
- The feature “qicli info” is activated and interesting for people who want to test things very quickly on the head of the robot without having to code an application or a script.
New elements also improve the audio and vision of the NAO robot:
- NAO6 takes advantage of all the Dialog and QiChat enhancements including semantic engine (knowledgeAPI + sentence structure) that allows the robot to give clearer and more coherent answers. Interaction with the robot are much improved.
- New cameras improve tracking and people detection performances. The dual stream of the top and bottom cameras is supported.
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