High-fidelity environmental data for perception, decision-making, and action training
Built on Taoding's collection → AI quality inspection → AI pre-annotation → human correction → delivery capability together with Northwestern Polytechnical University's long-video understanding technology, this forms an integrated embodied intelligence platform
Integrated Embodied AI Data Production Platform
Multi-source collection
Data engineering
AI enablement
Professional annotation
Quality management
Annotate
Capability
Space and Pose
3D boxes / 6D pose / spatial relations
Tasks and Actions
Task decomposition / action sequences / key events
Trajectory and Interaction
Trajectory / grasp / contact / release
Instructions and Alignment
Instruction-action / human-machine alignment
AI
Engine
3D Scene Understanding
Object recognition / spatial localisation / relational reasoning
Long-Horizon Behaviour Understanding
Key event localisation / action recognition
Data Alignment and Reasoning
Cross-modal alignment / semantic reasoning
Data Quality Assessment
Consistency checks / confidence scoring / anomaly detection
Multimodal
Data Engineering
Multimodal Parsing
Image | video | depth | point cloud
Time Synchronisation
Timestamp calibration | frame-level alignment
Camera and Hand-Eye Calibration
Camera intrinsics and extrinsics | hand-eye calibration
Coordinate Frame Conversion and Alignment
Camera | robot | world coordinate frames
Data Format Standardisation
Unified schema | format conversion
Multi-source
Data Collection
Real-Robot Teleoperation Collection
Human Demonstration Collection
Multi-Camera Synchronised Collection
Autonomous Operation Collection
Simulation and Synthetic Data
Core Advantages
Scaled Real-World Data Production
Drawing on a nationwide collection network, professional real-robot teams and crowdsourcing resources, we support scaled collection, annotation and quality-assured delivery of real-world data.
Elastic resource orchestration
Professional real-robot collection
Parallel multi-region delivery
Multi-Embodiment Adaptation and Standardised Delivery
Adapted to robotic arms, dexterous hands, mobile robots and humanoid robots, with standardised delivery of solution design, data processing and annotation.
Humanoid robot
Dexterous hand
Robotic arm
Mobile robot
Collection plan
Dataset
Annotation results
Quality report
For embodied intelligent robots and VLA vision-language-action model development, Taoding addresses core challenges including temporal alignment of multi-source data, human-machine and hand-object interaction, and action-semantic binding, offering a one-stop multimodal time-series data solution. Powered by our in-house Jingbiao Cloud platform and dedicated annotation teams, we handle heterogeneous data such as multi-view video, 3D point clouds, robot joint trajectories, force sensing and natural language instructions, with specialised services including temporal segmentation, action-interaction annotation, VLA triplet construction, video instruction writing and hard-example augmentation.
A lightweight dual-lens 1080P 60fps ego data collection device with built-in global-shutter ultra-wide dual cameras, a 6-axis high-frequency IMU and dual microphones, supporting millisecond-level, high-precision time synchronisation. It is an ideal first-person collection solution for embodied AI training.
Tego E1 is an embodiment-free collection terminal independently developed by Taoding, providing high-precision, high-quality first-person data support for embodied AI data collection.
Taoding's in-house data collection platform unifies management of embodied AI tasks across scenarios, bringing task dispatch, progress monitoring, material upload and quality review entirely online. It efficiently handles large-scale, multi-type collection projects in complex environments, keeping large-volume embodied AI data production stable, controllable and traceable.
For embodied intelligent robots and VLA vision-language-action model development, Taoding addresses core challenges including temporal alignment of multi-source data, human-machine and hand-object interaction, and action-semantic binding, offering a one-stop multimodal time-series data solution. Powered by our in-house Jingbiao Cloud platform and dedicated annotation teams, we handle heterogeneous data such as multi-view video, 3D point clouds, robot joint trajectories, force sensing and natural language instructions, with specialised services including temporal segmentation, action-interaction annotation, VLA triplet construction, video instruction writing and hard-example augmentation.
Taoding's embodied AI data annotation targets VLA multimodal and robot training scenarios. Built on three core technologies—temporal localisation, heterogeneous data governance and agent-based human-machine collaborative annotation—it delivers automated extraction, noise reduction and intelligent annotation services that efficiently produce high-quality training corpora to help embodied AI models reach production.
AI empowers embodied AI annotation data, reducing cost and supplying high-quality model training data in a compliant way. Deployed on the customer's premises, it lets customers organise employees or outsourced staff to carry out data annotation on their internal network.
Taoding's embodied AI data annotation targets VLA multimodal and robot training scenarios. Built on three core technologies—temporal localisation, heterogeneous data governance and agent-based human-machine collaborative annotation—it delivers automated extraction, noise reduction and intelligent annotation services that efficiently produce high-quality training corpora to help embodied AI models reach production.
Embodied AI robots cover smart manufacturing lines, warehousing and logistics, and high-risk heavy industry. Taoding supports multi-process data collection and adapts to automotive, apparel and luggage production, helping industrial robots reach deployment.
Intelligent robots serve public facility inspection, environmental cleaning and material transport. With project experience in complex environments such as shopping malls and hospitals, Taoding supports data collection and processing for navigation, human-robot interaction and obstacle avoidance.
For home environment robots spanning housework, domestic services, emotional interaction and household emergencies. Focused on unstructured home scenarios, we provide multimodal interaction data collection and annotation for tidying, pick-and-place and cooking assistance.
Suited to shelf inspection, inventory checks, goods handling and customer guidance in supermarkets. Taoding has real-world retail collection experience and provides multimodal data services for product recognition, navigation and obstacle avoidance, and human-robot interaction.
Medical embodied robots support ward inspection, rehabilitation assistance, nursing delivery and doctor-patient interaction. Backed by a team of medical experts, we complete multimodal data collection and annotation in medical environments on a compliant basis, empowering medical robot training.
For factory material recognition, grasping and sorting, and palletising. Addressing irregular workpieces and dynamic production lines, we provide object detection and action-sequence annotation, accelerating deployment of embodied intelligence in industrial sorting.
Fine-Grained Video Temporal Localisation Based on 3D Physical Priors and Closed-Loop Feedback
Unified Representation and Noise-Robust Joint Training Data Governance for Heterogeneous Human-Machine Data
Intelligent Video Annotation Based on Long-Video Understanding Agents and Human-Machine Collaboration
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