Limo Cobot
Limo Cobot integrates myCobot Nano 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.
You may purchase the Limo chassis or the myCobot Nano robot arm separately from the below websites:
Limo Cobot integrates myCobot Nano 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.
You may purchase the Limo chassis or the myCobot Nano robot arm separately from the below websites:
Limo Cobot integrates myCobot Nano 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.
You may purchase the Limo chassis or the myCobot Nano robot arm separately from the below websites:
Secondary Development
ROS is the most popular robot operating system in the world. A hardware platform based on ROS will benefit the user gaining extensive practical skills from the world’s most promising robot operating system.
4W Steering
Limo Cobot’s Four-Wheel Differential Steering Mode makes driving on any surface easy. Whether it's smooth concrete or sandy roads, it performs well. This flexibility is beneficial for developers researching various applications.
Mobile Manipulation
Limo Cobot features a 6-DoF robotic arm supporting various end-effectors, allowing for precise mobile grasping to fulfill diverse task requirements.
Autonomous Navigation
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.
Applications:
Autonomous driving
Pick & drop objects
Object recognition
Robot manipulation
Bundled Hardware:
1x ROS computer - Intel NUC i7 (8GB)
1x Chassis
1x Battery charger
1x Orbbec depth camera
1x EAT T-mini Pro LiDAR
1x 7 Inch Display
4x 14.4w Hub Motors
1x IMU HI226
1x myCobot 280 robot arm
1x gripper
1x camera module for robot arm
1x Carry Case
Bundled Software:
Ubuntu.
Drivers and ROS Packages.
Mobile remote control apps.
Chassis Dimensions:
Height x Length x Width: 322 x 250 x 251 mm
Weight: 4.5 kg
Arm Dimensions:
Max Working Radius: 280 mm
Weight: 1.1kg
