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HUNTER 2.0 autonomous driving robot
Hunter 2.0 is specifically developed to excel in low-speed autonomous driving scenarios. It is equipped with front-wheel Ackerman steering and rocker suspension, enabling it to effectively navigate obstacles encountered on its path. Furthermore, the new-generation power system enhances its payload capacity and extends its endurance capabilities for superior performance.
The Ackermann Front Steering Drive-by-wire Chassis. The best-in-class development platform to explore cutting-edge applications of low-speed autonomous driving applications.
Hunter 2.0 is specifically developed to excel in low-speed autonomous driving scenarios. It is equipped with front-wheel Ackerman steering and rocker suspension, enabling it to effectively navigate obstacles encountered on its path. Furthermore, the new-generation power system enhances its payload capacity and extends its endurance capabilities for superior performance.
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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:
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- 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:
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- 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:
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- 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.
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- 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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