Data Collectors at JD Teach Robots to Live Like Humans Through Daily Activities
- Published
- Source
- leaderobot.com
At JD's Robot Data Collection Center in Suqian, data collectors are teaching robots to mimic human activities such as cooking and scanning. This innovative approach transforms everyday actions into precise data points, essential for training embodied intelligent models. The center aims to collect over 10 million hours of quality data within two years, recruiting 100,000 full-time and 500,000 part-time data collectors across various environments.
This initiative is significant as it bridges the gap between AI and human-like understanding, allowing robots to learn from real-life scenarios. The data collectors, equipped with lightweight devices, meticulously capture actions to ensure the data's accuracy and relevance. Their work exemplifies the evolving relationship between humans and robots, highlighting the importance of human input in AI development.
Looking ahead, the center's ambitious goal of extensive data collection will play a crucial role in advancing AI capabilities. As the demand for skilled data collectors grows, this emerging profession is gaining popularity, with experienced collectors earning substantial incomes. No further timeline was disclosed at the time of publication.
Original report
Data Collectors: Teaching Robots to Live Like Humans
leaderobot.com · LeaderobotThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
-
1
RobotToday Weekly November 2 – 6, 2026 RobotToday · 2 days ago
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
-
10
FAIR plus 2027 – Shenzhen, Apr 21–23, 2027 RobotToday · 1 week ago
-
11
RobotToday Weekly October 26 – 30, 2026 RobotToday · 1 week ago
- 12
Related Suppliers
JdeRobot
Spanish open-source robotics and computer vision framework from Universidad Rey Juan Carlos for education, research, and autonomous systems.
AI Robot Association (AIRoA)
Tokyo non-profit association of Japanese industry and academia collecting open robot data and building robot foundation models, backed by NEDO.
Cortex Robot, Inc.
YC F25 startup collecting egocentric workplace video and mobile bimanual robot trajectories, and building Cortex Harness for human-guided robot rollouts.
ATR Intelligent Robotics and Communication Laboratories
Kyoto research laboratory within ATR (est. 1986) studying human-robot interaction, cybernetic avatars and social robots such as Robovie and Geminoid.
Center for Intelligent Robotics (CIR) at KIST
South Korean government research center at KIST focused on intelligent robotics and human-robot interaction since 1966.
Deccan AI
Enterprise data company providing expert-curated SFT, RLHF datasets, RL environments and evaluations for training LLMs and AI agents.
Build AI
San Francisco data company collecting egocentric video of real factory workers; its open Egocentric-100K set holds 100,405 hours for robot learning.
Claru
Reka AI's training-data unit, capturing egocentric video with 10,000+ wearable-camera collectors plus teleoperation and manipulation data for robot learning.
Meridian Laboratory
U.S. manufacturer of ROTOCON brushless slip rings and ML6 precision molded polyurethane rollers for motion control and automation.
Hubei Optics Valley Dongzhi Embodied Intelligence Technology Co., Ltd. 湖北光谷东智具身智能技术有限公司
Wuhan, China embodied-intelligence firm founded 2025, backed by HEC Group, Zhiyuan Robotics, and Peking University; makes Lumen humanoid and service robots.
Insight Intelligence 具识智能
Shanghai developer of insightOS, an embodied-AI robot operating system spanning dev, runtime and fleet ops; HIT spin-out with deployments at BYD.
MetOcean Telematics (MetOcean Data Systems)
Canadian developer of oceanographic data collection systems, telemetry buoys, and communication solutions for AUVs, ASVs, and marine environmental monitoring.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.