- Roboworks Rosbot Pro Nano
- Features an Autonomous Mobile Robot (AMR) Platform
- Ideal for the R&D project and rapid prototyping
- ROS1/ROS2 compatible
- ROS Controller - Jetson Nano
- Built-in STM32 Motor/Power/IMU Controller
- Built-in LiDAR and Depth Camera
The Roboworks Rosbot Pro Nano is an ideal Autonomous Mobile Robot (AMR) platform for robotic education, R&D projects, and rapid prototyping. Rosbot Pro is equipped with built-in ROS Controller, LiDAR, Depth Camera, STM32 Motor/Power/IMU, and metal chassis with solid rubber wheels.
Rosbot Pro saves time and money for rapid prototyping or product development. Its battery life can go up to 4 hours or 2.5 hours with a full load. This is a serious professional AMR platform to be integrated into industrial and service robots both for indoor and outdoor applications. It can carry up to 35 kg payload and climb up to a 30-degree slope. Rosbot Pro is one of the most agile AMR platforms that can carry out big jobs at a low cost.
Why ROS?
ROS is the most popular robot operating system in the world. A hardware platform based on ROS will benefit the user by gaining extensive practical skills from the world's most promising robot operating system.
Quick Start
ROS and Ubuntu images are pre-loaded on Rosbot which includes all the essential ROS software packages and drivers. The online tutorial will guide the user on how to launch Rosbot and its ROS packages within minutes.
Complete Solution
Rosbot Pro comes with comprehensive technical materials including a user manual, tutorials, and sample ROS codes saving valuable R&D time and resources.
Expandable
Rosbot Pro is expandable to add accessories such as robotic arms, voice recognition modules, LCD screens, external keyboards, etc.
Research Lab Ready
Rosbot Pro comes with comprehensive technical materials including a user manual, tutorials, and sample ROS codes allowing researchers and developers to integrate Rosbot Pro's hardware and software package into their curriculum with ease and flexibility.
Applications
- Autonomous driving
- Autonomous mobile robot
- SLAM
- Navigation
- Mobile manipulation
- Human-robot interaction
- Mobile computer vision
- Edge computing over 4G/5G
- Service robot
- Inspection robot
- Robot and drone collaboration
