Quadruped Robot Amigaga Technology
Fully open control interface, and support the secondary development of multi-platform software, support ROS.
Provide the simulation environment and digital twin for the quadruped robot to achieve the deep reinforcement learning ability, and provide the higher-order function algorithms such as depth perception and scene ability.
Provide the simulation environment and digital twin for the quadruped robot to perform the anti-resistance experiment, and provide the code needed to perform the task. All algorithms are open source.
| Deadweight | 12kg |
| Degree of freedom | 12 |
| Maximum speed | Maximum plane speed 3m/s |
| Angle of climb | Maximum climbing angle 30° |
| Communication | Equipped with a wireless network card, the robot and the computer can communicate wirelessly. |
| Range | The rated endurance of the robot is approximately 1 hour of alternating unloaded static standing and upright walking. |
| On-board resources | Equipped with RGBD camera and on-board computing resources. |
| Quality Standard | GB/T17626.2-2018 GB/T17626.3-2016 GB/T17626.9-2011 |
| Can automatically restore balance after disturbance | YES |
| Support multi-platform secondary development, support ROS | YES |
| Each robot must fully open the control interface | YES |
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