FAQs

Yes. We provide specialized underwater cameras that can be used for robot motion capture in underwater scenarios.

It involves integrating the Python SDK of the motion capture system with the robot platform's SDK to establish a mapping relationship between human skeletal data and robot skeletal data, thereby realizing the retargeting of motion capture data to the robot.

Yes. You can use custom template. Subsequently, use the connection function in the software to link the markers into bones, enabling the capture of data for each joint of the quadruped.

GMR software fully supports processing the data output by our motion capture system. Please note that when creating a project in GMR, you must select a compatible model (e.g., the 53-point V2 model) to ensure the correct model is chosen. We recommend using the resources provided in the official GMR repository and selecting the "Baseline+Toe,Headband(53) V2" template created for motion capture data for retargeting operations. Our future updated human data templates will also support such applications.

The data captured by the motion capture system is typically of very high precision. In most cases, such data can be directly applied to humanoid robot training tasks without requiring additional cleaning steps.

Due to the limited performance of the robot's main unit, real-time data solving and inference are typically performed on a local computer via Ethernet, and then the data is transmitted to the robot in real-time. To facilitate this data forwarding, equipping the motion capture computer with dual network cards or a docking station with a Gigabit Ethernet port is a widely adopted connection method.

The motion capture system accuracy can reach sub-millimeter . The specific accuracy depends on the product model selected. Accuracy varies between models, and we can recommend products based on your specific requirements.

For such customized solutions, please contact our sales or technical support colleagues. We will provide you with a dedicated configuration plan.

The number of cameras needs to be determined comprehensively based on factors like area size and number of subjects. For high-speed motion, it is recommended to appropriately increase the "Exposure" parameter within the software.

Motion capture data is typically transmitted to the robot via SDK or VRPN protocols and used as truth data, which generally requires no adjustment.

This depends on factors like specific scene size and number of robots. Typically, for a single humanoid robot, we recommend using 8 to 12 cameras.

The current Mapping Algorithm for humanoid robots is developed based on a human model. In the future, we will release versions supporting other human marker models.

You can contact our technical support engineers via the after-sales group or reach out to our sales manager to apply for a trial version of the software.