Core Viewpoint - Xdog is a low-cost, multifunctional quadruped robotic dog and robotic arm development platform designed for embodied developers, featuring a comprehensive curriculum for research and learning in robotics [1][2]. Hardware Overview - Xdog integrates advanced functionalities such as voice control, sim2real, real2sim, target recognition and tracking, autonomous robotic arm grasping, and reinforcement learning gait control, covering most of the technology stack for embodied intelligent lower limb control [2][5]. - The robotic dog measures 25cm x 20cm x 30cm and weighs 7.0kg, with a maximum speed of 7.2 km/h and a maximum rotation speed of 450 degrees per second [3][11]. - The main control chip is Allwinner H616, featuring a quad-core 1.6GHz CPU, 4GB RAM, and 32GB storage [4][5]. - The robotic arm can reach a maximum height of 0.85m and has a grasping range of 0.4m around its base [7]. Software and Functionality - The system supports various control methods including voice control via TCP, keyboard control, visual control, and reinforcement learning for autonomous movement [15][17]. - Development is based on ROS1, with Python as the primary programming language, and it is recommended to use a GPU of at least 2080ti for inference [16][24]. - The platform includes a comprehensive curriculum covering topics from basic ROS knowledge to advanced reinforcement learning principles and practical applications [22][23]. Team and Support - The project is led by a team of experienced instructors responsible for project advancement, technical support, and course development [22]. - After-sales service is provided for one year post-delivery, with video and source code access granted immediately after hardware receipt [26]. Delivery and Consultation - The delivery cycle is set to be completed within three weeks after payment [25]. - For further inquiries, potential customers are encouraged to consult the assistant via WeChat [27].

Core Viewpoint - Xdog is a low-cost, multifunctional quadruped robotic dog and robotic arm development platform designed for embodied developers, featuring a comprehensive curriculum for research and learning in robotics [1][2]. Group 1: Hardware Overview - Xdog integrates a robotic dog and robotic arm, with advanced functionalities such as voice control, sim2real, real2sim, target recognition and tracking, autonomous grasping, and reinforcement learning gait control [2][5]. - The robotic dog measures 25cm x 20cm x 30cm and weighs 7.0kg, with a maximum speed of 7.2 km/h and a maximum rotation speed of 450 degrees per second [3][11]. - The main control chip is Allwinner H616, featuring a quad-core 1.6GHz CPU, 4GB RAM, and 32GB storage [4][5]. Group 2: Technical Specifications - The robotic dog has a battery capacity of 93.24Wh, providing approximately 120 minutes of operational time and a standby time of about 6 hours [5][11]. - The robotic arm can reach a maximum height of 0.85m and has a grasping range of 0.4m around its base [7]. - The depth camera features active dual infrared and structured light technology, with a depth output resolution of 1280 × 800 @ 30 fps and a working distance of 0.2m - 10m [14]. Group 3: Software and Functionality - The system supports various control methods including voice control, keyboard control, visual control, and reinforcement learning for autonomous movement [15][17]. - Development is based on ROS1, with Python as the primary programming language, and it is recommended to use a GPU of at least 2080ti for inference [16][24]. - The platform allows for advanced functionalities such as collaborative control of the robotic arm and dog for target following, and autonomous grasping capabilities [19][20]. Group 4: Educational Curriculum - The curriculum includes hands-on training in ROS project creation, Mujoco simulation, and reinforcement learning principles, among other topics [22][23]. - Courses cover the setup and usage of the Xdog system, including network configuration, camera parameter adjustments, and advanced algorithms for object recognition and tracking [22][23]. - The teaching team consists of experienced instructors responsible for project management, technical support, and algorithm training [22]. Group 5: Delivery and Support - The delivery cycle is set to be completed within three weeks after payment, with a one-year warranty for after-sales service [25][26]. - The product includes hardware and accompanying courses, with no returns or exchanges allowed for non-quality issues [26].