Embodied Perception

Achieve stable and continuous spatial perception in complex environments, enabling agents to consistently understand spatial structures and dynamic changes.
Embodied perception technical advantages

Active spatial perception mechanism|Continuous environment modeling|Integrated on-device perception and computing|Multimodal fusion|Multi-device collaboration and anti-interference capability

Embodied perception performance metrics

Centimeter-level ranging accuracy|100kLux strong light interference resistance|High-resolution depth imaging capability|Coverage across multiple distance ranges|Real-time frame-level data output

Embodied perception application scenarios

Outdoor service robots|Unmanned systems|Smart logistics and warehousing|Industrial automation and robot vision

Embodied perception related products

Embodied Safety

Establish dynamic safety boundaries across all human-machine coexistence scenarios, enabling full-chain real-time perception and rapid response for embodied systems
Embodied safety technical advantages

Native safety architecture based on sense-compute integrated chips|Full-cycle safety control for robot body motion|Dynamic environmental risk prediction and active intervention|Real-time responsive safety control loop

Embodied safety performance metrics

≤200μs end-to-end safety response latency|Spatial safety zone coverage capability|Simultaneous real-time detection and risk grading for ≥32 dynamic targets

Embodied safety application scenarios

Humanoid robot intrinsic safety redundancy control|Human-machine collaborative safety protection for industrial collaborative robots|Human-machine coexistence safety assurance for service robots in public scenarios|Motion safety control for special-operation robots in hazardous environments

Embodied safety related products

Embodied Data

Build a dual system of embodied motion data and closed-loop control, driving continuous learning and behavior evolution for intelligent agents
Embodied data technical advantages

Human motion data collection and modeling|Teleoperation and demonstration learning capability|Multi-source data fusion|Closed-loop data optimization and continuous improvement

Embodied data performance metrics

Motion capture angular accuracy ≤0.1°|Spatial positioning accuracy ≤2mm|Sampling frequency ≥2kHz

Embodied data application scenarios

Robot motion learning and training|Remote operation and complex task execution|Human-machine collaborative operating systems|Behavior data modeling and optimization

Embodied data related products

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