Pickerbot Mini
Pickerbot Mini is a mobile pick-and-drop robot based on ROS (Robot Operating System) for robotic researchers, developers, educators, students and hobbyists.
Pickerbot Mini is equipped with builtin ROS Computer, 3 Axis Robot Arm, Soft Gripper, LiDAR, Depth Camera, STM32 Motor/Power/IMU Controller and metal chassis with omnidirectional mecanum wheels.
Pickerbot Mini is ideal for ROS beginners with affordable price, compact design and ready-to-go package. Pickerbot Mini is also an ideal prototype platform for robotic research and development projects.
Why ROS?
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.
Quick Start
ROS and Ubuntu images are pre-loaded on Pickerbot Mini which include all the essential ROS software packages and drivers. Our online tutorial will guide the user how to launch Pickerbot Mini and its ROS packages within minutes.
Complete Solution
Pickerbot Mini is a complete package for ROS learning and research projects bundled with all essential hardware components and ROS software.
Expandable
Pickerbot Mini is expandable to add accessories such as voice recognition modules, LCD screen and external keyboards etc..
Classroom Ready
Pickerbot Mini comes with comprehensive classroom materials including user manual, tutorials and sample ROS codes allowing educators to integrate Pickerbot Mini’s hardware and software package into their curriculum with ease and flexibility.
Key Functions:
Computer Vision
OpenCV
KCF tracking
AR label recognition
RGB visual line tracking
Skeleton tracking
3D object recognition
ORB mapping
SLAM & Navigation
Obstacle avoidance
rtab visual mapping
rtab visual+LiDAR mapping
Gmapping
Hector mapping
Karto mapping
Cartographer mapping
Cartographer 3D Reconstruction
RRT path planning
LIO-SAM 3D Reconstruction
LeGO-LOAM 3D Reconstruction
Deep Learning
YOLO object recognition
YOLO gesture recognition
YOLO traffic sign recognition
Deep learning model training
Gesture control
Tensorflow object recognition
Tensorflow target detection
Tensorflow handwritten number recognition
