Data Collection
High-quality data serves as the core fuel that drives robots to achieve breakthroughs in imitation learning, reinforcement learning, and autonomous decision-making. Jingshuo.ai provides diversified data collection services, catering to algorithm training needs in various scenarios and helping robots accelerate their progress toward "action intelligence."
Teleoperated Data Collection for Embodied AI
Human experts directly control robots in real environments to capture rich multimodal interaction data, fueling breakthroughs in imitation learning, reinforcement learning, and autonomous decision-making.
Key Advantages
Human Expert Demonstration
Operations are performed by professionals to ensure high-quality data.
Multimodal Synchronous Collection
Simultaneously captures visual, sensor, and control signal data to recreate realistic interaction scenarios.
Customizable Environments
Complex environments (e.g., home, industrial, outdoor) can be tailored to match specific algorithm training goals.
Simulated Data Service for Embodied AI
High-quality, multi-scenario datasets are generated using the NVIDIA Isaac simulation engine, seamlessly bridging simulation and reality.
Key Advantages
Synthetic VLA Training Data
Expands limited real-world datasets with massive synthetic variations.
Long-tail Scenario Generation
Creates rare and long-tail scenarios to build stronger and more resilient AI models.
Reality-Aligned Simulation
Simulation parameters are highly aligned with the real world, ensuring effective data transfer for practical use.
Fast Data Gap Filling
Quickly fills real data gaps to accelerate algorithm iteration and scenario adaptation, driving rapid tech deployment.
Motion Capture Data Service
Human skeletal data is captured via motion capture equipment and retargeted to robotic embodiments.
Key Advantages
Improved Collection Efficiency
Instead of inefficient teleoperation, motion capture with retargeting enables rapid acquisition of high-quality training data.
Reduced Collection Costs
Human motion capture is significantly more cost-effective than direct robot teleoperation.
Natural Motion Reproduction
Based on human biomechanics, robot movements become more aligned with real-world interaction logic.
Multimodal Synchronous Collection
Simultaneously captures visual, sensor, and control signal data to recreate realistic interaction scenarios.