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详解机器人动作捕捉技术
SIASUNSIASUN(SZ:300024)2025-03-16 14:53

Summary of Motion Capture Technology in Robotics Industry Overview - The motion capture technology is divided into two main categories: inertial and optical systems. Inertial systems are portable but susceptible to interference, while optical systems offer high precision but come with higher costs [2][4][5]. Key Points and Arguments - Inertial Motion Capture: - Utilizes multi-axis sensors (e.g., nine-axis or twelve-axis) to collect motion data. It is portable and easy to operate, but suffers from cumulative errors and interference from magnetic fields [4][5][8]. - Data accuracy can be compromised in environments with Bluetooth or WiFi interference, leading to pose estimation errors and data loss [5][9]. - Optical Motion Capture: - Achieves sub-millimeter precision and is not affected by magnetic fields, making it suitable for high-precision applications. However, it requires a controlled environment and is sensitive to physical vibrations and lighting conditions [2][7][8]. - The cost of optical systems can be significant, with setups costing around 300,000 to 400,000 RMB [4]. - Market Segmentation: - The motion capture market is segmented into three tiers: - High-end market dominated by Yobeat and OptiTrack, serving major clients like Tencent and Alibaba. - Mid-tier market catering to general industrial applications and research institutions. - Niche market served by smaller companies providing specialized solutions [2][10][12]. - Data Quality and Processing: - Optical motion capture systems yield high data quality with an output rate of 98%-99%, while inertial systems have a slightly lower output rate of 90%-95%. Optical data often requires further processing, while robotic motion capture data is generally more straightforward [18][24]. - Application Trends: - The application of motion capture technology in robotics is expanding, particularly in embodied intelligence and model training. Leading companies in China are actively developing motion capture algorithms for humanoid robots [3][19][20]. Additional Important Insights - Industry Competition: - The competitive landscape is characterized by established players like Yobeat and OptiTrack, which have a strong presence in high-end markets, while newer entrants are gradually capturing mid-tier segments [10][13]. - Commercial Models: - Companies are encouraged to establish dedicated motion capture environments to enhance data collection efficiency and client satisfaction, which in turn improves profitability [14][15]. - Future Trends: - Data collection will become increasingly essential in robotics development, driven by the need for extensive motion data to train models effectively. This trend is expected to support the growth of the industry [21][22]. - Optical vs. Inertial Systems: - The future of motion capture in China is likely to remain dominated by optical systems due to their superior accuracy and lower operational costs compared to inertial systems [23][24]. This summary encapsulates the critical aspects of motion capture technology in the robotics sector, highlighting its current state, competitive dynamics, and future trends.