PRODUCT INTRODUCTION
Octopus Smart Omnidirectional McNum unmanned vehicle equipped with dual lidar.Integrated mobile base, odometry, lidar, stereo camera, etc., compatible with Navigation, ROS TF, Pluginlib and TensorFlow, supporting laser SLAM, positioning navigation and object recognition, suitable for teaching and research.
PRODUCT FEATURES
Cargo Transport
Supporting Robot Arm
Strong Performance
Ultra-long Battery Life
Autonomous Navigation
Camera
Lidar Positioning
Secondary Development
Open Source Code
C++
Python
ROS
Strong Computing Power
Onboard mainframe equipped with independent graphics, providing powerful computing power. Whether it is complex environment perception, real-time decision making or large-scale data manipulation, it can be processed quickly and efficiently, ensuring that every operation is accurate and fast.
Highly Integrated Sensors
Equipped with radar, depth camera, ultrasonic and other sensors, build an efficient sensing system, improve navigation accuracy, and easily cope with complex tasks. New application scenarios can also be explored based on these sensors.
Rich Interfaces are Reserved for Secondary Development
Equipped with a variety of power supply and communication interfaces to meet different needs, the body reserved installation holes, easy to install third-party equipment, good flexibility and scalability. Make sure your diversity requirements are met in the task.
Designer and manufacturer of mobile robots, shipped to over 50 countries worldwide
Omnidirectional Mobility
Eight glossy, round of omnidirectional chassis design enables the robot movement in any direction, without complex, easy to go forward, backward, lateral and rotational, ensure efficient operations in the narrow space or complex terrain.
SUPER WIDE FIELD of VIEW
Dual lidar and six millimeter wave radars provide wide-angle coverage, realizing all-round and no-dead Angle monitoring of the environment around the car, ensuring accurate perception, real-time feedback, and greatly improving safety.
INTELLIGENT FARMING PICKING ROBOT SYSTEM
Intelligent agricultural picking robot system RS-AGR, based on the robot picking fruit and vegetable in the natural orchard environment as the prototype, comprehensive use of embedded system, mobile robot autonomous navigation and positioning, robot arm planning, visual recognition, sensor and controller, cloud computing and other technologies, Relying on intelligent unmanned vehicle, multi-axis robot arm, mechanical clamp, binocular camera, liDAR, depth camera, inertial navigation system, wireless network, intelligent gateway and other equipment to achieve unmanned fruit and vegetable picking.
5G REMOTE SECURITY INSPECTION ROBOT SYSTEM
5G security inspection robot system RS-INS uses a set of multi-device coupling system, from the aspects of mechanism design and optimization, motion planning and control, state estimation and environment perception, etc., through 5G network to achieve 4K high-definition back transmission, remote real-time control, multi-line patrol, target tracking and positioning, day + night dual-light source shooting and other functions. Support multi-channel video on demand and video playback, can achieve routine inspection in complex terrain, cloud remote work, background automatic archive analysis and other functions.
PRODUCT FUNCTION
TECHNICAL PARAMETER
Specifications | Standard Configuration | High Configuration | |
Dimension | 950mmx720mmx400mm
| ||
Ground Clearance | 25mm
| ||
Driving Mode | 8 Mecanum weel drive + Active wheel independent suspension | ||
Weight | 80kg | ||
Maximum Load | 100kg | ||
Maximum Speed | 1.3m/s
| ||
Maximum Climbing Angle | 10° | ||
Minimum Turning Radius | 0m | ||
Battery Capacity | 30Ah | ||
Operating Time | 5-8h | ||
Standby Time | 8h | ||
Power Supply Interface | 5V，12V，24V | ||
Communication Interface | USB Communication Interface x3，CAN Communication Interface x1，Communication Network Interface x3 | ||
Embedded Host | CPU | Intel Core i9 Processor | |
Memory | 16G | ||
Storage | 512G | ||
Graphics | GTX1660S | ||
Master Control | Master Chip | STM32 F4 Series | |
3D Lidar | Channels | / | 16 |
Scanning Radius | / | 0.05m-120m | |
Accuracy | / | 0.5cm | |
Augular Resolution | / | Horizontal: 0.09°@5Hz, 0.18°@10Hz, 0.36°@20Hz；
Vertical: 2°； | |
Scan Rate | / | 5-20Hz | |
Sample Rate | / | 320000Hz | |
Horizontal FOV | / | 360° | |
Vertical FOV | / | 30° (-15° ~ +15°) | |
2D Lidar | Amount | 2 | |
Scanning Radius | 0.1-40m | ||
Accuracy | ±30mm | ||
Augular Resolution | 0.23°@10Hz，0.34°@15Hz | ||
Scan Rate | 7-15Hz | ||
Sample Rate | 16200Hz | ||
Angular Range | 0-360° | ||
Depth Camera | RGB FOV | 71°x43.7° | |
RGB Resolution & Frame Rate | 1920*1080，30fps(Max) | ||
Depth FOV | 67.9°x45.3° | ||
Depth Resolution & Frame Rate | 1280×720，30fps(Max) | ||
Depth Distance | 0.3~3m（about 0.98~9.84ft） | ||
Depth Accuracy | ±1-6mm (Within 1 meter) | ||
RTK | Refresh Rate | / | 20Hz |
Positioning Accuracy | / | Data change along cloud sharing | |
RTK Surveyin-time | / | Data change along cloud sharing | |
GNSS | / | BDS/GPS/GLONASS/Galileo/QZSS | |
4G Network Module | Maximum Transmission Rate | 150Mbps | |
Number of Gigabit Ethernet Ports | 4 | ||
Frequency Band | 2.4GHz & 5GHz | ||
Ultrasonic Sensor | Amount | 6 | |
Range | 2-450cm
| ||
Accuracy | 0.5cm
| ||
Frequency | 20Hz | ||
Screen | Resolution | 1280×800 | |
Dimension | 10.1 inch | ||
Touch Screen | Yes | ||
Speaker | Amount | 1 | |
Collision Detection Belt | Amount | 2 | |
Length | 74cm | ||
Function Buttons | Emergency Stop Safety Switch x1; Interactive Functional Button x2, features customizable. | ||
