Smartcote Multimodal Sensor Upper - Research Edition

Smartcote Multimodal Sensor Upper - Research Edition

Smartcote multimodal sensor topload for mobile robot developers to create a zero-threshold, high-precision, fully integrated, cost-effective environment awareness solutions, adapted to the market mainstream mobile robot products, so that users can quickly carry out scientific research, application work.
For non-robotics domain users, we have developed complete robotics middleware software that allows users to use robots to accomplish domain applications without operating ROS.

Description

characterization

Relevant information

Zero-threshold operation, full-scene ease-of-use design

Plug and Play, Rapid Deployment
The product adopts standardized interface design (USB3.0/GMSL2/network port/HDMI), which is compatible with the mainstream mobile robot chassis in the market, and users only need to physically connect to complete the hardware adaptation without complex debugging. The robot controller provides industrial-grade stable arithmetic power and supports harsh environments such as outdoor high and low temperatures, vibration and other harsh environments. Supports SLAM mapping, path planning, multi-machine collaboration and other scenarios by default, users do not need to configure the software.

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Non-robotics user friendly

Through the robot center software users can realize the function call without the basic ROS programming. Pre-installed AI model ready to use: integrated Yolo v11 target detection, DeepSeek 8B semantic understanding, can be directly deployed security inspection and other applications.

Full-stack development support, seamless integration of research and engineering

Out-of-the-box ROS development ecosystem, Provides a complete ROS noetic function package, covering LIDAR point cloud processing, multi-sensor calibration, navigation and obstacle avoidance algorithms; The Research Edition is equipped with NVIDIA Orin NX, pre-installed with CUDA, which provides up to 100 TOPS of arithmetic support for deep learning algorithms. Multi-modal data fusion framework
Support system integration of multi-line LIDAR, gimbal depth vision, differential GPS, IMU to build a completed sensor system

Cost-effective industry solutions

Compared with the traditional development mode, the SmartKote solution can shorten the 80% environment awareness system construction cycle; scientific research users: directly call the pre-installed algorithms to verify the theory, saving the hardware debugging time; project application users: through the middle-ground software quickly adapted to existing robots, reducing the cost of using and deploying the robot for a single project.

Technical Parameters

- Equipment Pictures Equipment Pictures
Products application version Research version
main controller Automotive grade controller AD10 (orin core) Nvidia Orin NX
Main Hardware Configuration 64-line/32-line laser, differential GPS, IMU, gimbal depth vision system
software environment Ubuntu 20.04, ROS noetic, Python 3.8
pre-installed application Yolo v11, deepseek 8B, robot localization and navigation, multi-machine system, robot center stage v1.1
physical interface USB3.0, network port, HDMI, robot communication and power supply interfaces, with GMSL2 interface on the application version of the topload

Use Cases