Obstacle Avoidance

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

Open-Source Support

LIMO Cobot supports ROS, Gazebo, Raviz and mainstream programming languages like Python and C++, making development flexible and accessible.

POWERFUL BASE

The mobile base of LIMO Cobot incorporates advanced sensors such as the EAI T-mini Pro LiDAR, Orbbec Dabai depth camera, and IMU, ensuring exceptional control performance. It utilizes 4 hub motors for excellent stability and maneuverability, allowing smooth movement in various terrain environments. More importantly, it can switch between 4 modes based on terrain requirements: Ackermann, Four-wheel differential steering, Tracked steering, and Omni-directional steering. This is a functionality that other mobile robots do not possess.

Ackermann

Four-wheel differential steering

Tracked steering

Omni-directional steering

COMPOUND APPLICATION

myCobot 280 M5

LIMO Cobot is equipped with Elephant Robotics' 6-axis collaborative robotic arm, myCobot 280 M5, forming a compound robot.

The myCobot 280 M5 has a weight of 850g, a payload of 250g, and an effective working radius of 280mm. Despite its compact size, it boasts powerful functionality. It can be equipped with various end effectors to adapt to diverse application scenarios. Supporting secondary development with multiple platform software, it caters to various needs in research and education, smart home applications, commercial exploration, and more. With different end effectors, it can achieve a variety of applications.

LIMO PRO

LIMO PRO integrates the NVIDIA Orin Nano alongside the EAI T-mini Pro LiDAR and Orbbec Dabai depth camera. This enables robust environmental perception and intelligence for autonomous navigation, obstacle avoidance, SLAM mapping, mobile grasping, and visual recognition applications.

Mobile grasping

Autonomous navigation

Visual recognition

SLAM mapping

ROS2 SIMULATION CONTROL SUPPORT

LIMO Cobot is equipped with the open-source robotic software platform ROS 2, providing rich development tools and libraries for LIMO robots and assisting users in rapid learning and development of robotic applications. It supports various development tools such as RViz, Nav2, Gazebo, and more.