Description

LIMO Cobot integrates Mycobot 280 M5 and Nvidia Orin Nano for autonomous features. It supports navigation, obstacle avoidance, mapping, mobile grasping, and visual recognition. it ideal for education, competitions, and training.

Budgetary Robot for Classroom teaching

LIMO Cobot integrates Mycobot 280 M5 and Nvidia Orin Nano for autonomous features. It supports navigation, obstacle avoidance, mapping, mobile grasping, and visual recognition. it ideal for education, competitions, and training.

Payload - 4.8Kg

Runtime - 150 min

Speed - 1m/s

Mobile Grasping

LIMO Cobot features a 6-DoF robotic arm supporting various end-effectors, allowing for precise mobile grasping to fulfill diverse task requirements

Autonomous Mapping

LIMO Cobot autonomously senses and constructs precise environmental maps, offering accurate data support for navigating complex spaces.

Obstacle Avoidance

LIMO Cobot can intelligently perceive its surrounding environment and flexibly navigate to avoid obstacles, ensuring safe task execution.

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

3D SLAM

Vision Line Following

YOLO Object Recognition

Target Detection and Tracking Control

COMPLEMENTARY COURSES

Online Video Turorials

Providing a dynamic and visual learning experience, guiding users through various functionalities and applications of our robots.

Text-based Tutorials

Offering in-depth text explanations, ensuring that users can delve into the intricacies of the robotic arms and operating them easily.