Agilex Robotics

LIMO COBOT

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.
4.8 KG

Playload

150 MIINS

Runtime

1M/S

Speeds

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