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XR-ROSHunter Mecanum Wheel Autonomous Navigation Robot Parameters
ROSHunter Mecanum wheel autonomous navigation robot is equipped with a series of high-performance hardware, including but not limited to NVIDIA Jetson Nano main control board, high-torque encoder reduction motor, laser radar, 3D depth camera, 7-inch LCD display and programmable RGB lights. These high-performance hardware not only give ROSHunter excellent motion control and environmental perception capabilities, but also make it more accurate and efficient when executing ROS SLAM algorithms for map construction, path planning, deep learning and visual interaction tasks.
The parameter of XR-MROS-A3 Intelligent Driving Robot Car
XR-MROS-A3 Intelligent Driving 5G Robot Car can realize laser radar mapping and navigation, real-time mapping fixed-point navigation and multi-point positioning, autonomous path planning, dynamic obstacle avoidance, visual three-dimensional mapping navigation, and can also realize artificial intelligence technology, face vision, object recognition, color tracking and other visual interaction functions through computational vision.
Perfect encounter between ROS and Jetson nano XR phage bionic six-legged hexapod spider robot
Hexapod walking mechanism: The XR bionic hexapod spider robot uses 18 XR-S270 35KG bi-weekly serial bus servos as the hexapod walking mechanism motion joints, which gives it excellent terrain adaptability. Whether it is in rugged mountains, muddy swamps or narrow gaps, it can shuttle freely.
Intelligent perception system: Combined with the sensor interface of ROS, the XR bionic hexapod spider robot can obtain environmental information in real time, and process and analyze it through algorithms such as deep learning. This enables the robot to more accurately identify targets, judge obstacles and plan paths.
Intelligent perception system: Combined with the sensor interface of ROS, the XR bionic hexapod spider robot can obtain environmental information in real time, and process and analyze it through algorithms such as deep learning. This enables the robot to more accurately identify targets, judge obstacles and plan paths.
Corgi bionic robot dog with ROS: In-depth exploration of the interactive innovation between robot dog and robot operating system
In short, when the Corgi robot dog meets ROS, the interaction between the two not only promotes the innovation and development of robotics technology, but also shows us the infinite possibilities of robotics in the future. We look forward to seeing the emergence of more innovative robotic products and application scenarios, bringing more convenience and surprises to human life and work.
How to use ROS (Robot Operating System) to create AI robot car？
XR TH ROS Robot car uses anodized aluminum alloy as the chassis, Jetson Nano main control board, depth camera, 8400mAh lithium battery with charge protection, DC brush motor (comes with 360-line AB coding), nine-axis gyro Rotator, Rplidar A1 radar, 7-inch 1080p high-definition touch screen (capacitive screen), 4-degree-of-freedom robotic arm, etc.
The learning tool of ROS2- ROS2 Hunter smart robot car
After the ROS2 Hunter intelligent robot car uses the Ackerman chassis, its flexibility and performance have been greatly improved, and it has a wider range of usability. It is also more conducive to the development of research projects in autonomous driving, the automotive industry and other related industry projects. .
Introduction of Robot Operating Systems 2: ROS2 and compared with ROS
What is ROS2?
ROS2 (Robot Operating System 2) is the successor of ROS. Its working principle is similar to ROS1. It is an operating system widely u...