Products
What we have done.
Data Acquisition Suite
Embodied Data
Annotation System
Teleoperation System
Data
We designed a high-precision and high-density embodied data collection solution that supports highly flexible data acquisition for tasks involving grasping, mobility, and complex interactions.
AI Model
With the advent of large-scale data, we aim to launch a universal model for the robotics industry. This initiative is aimed at revolutionizing the field and addressing the evolving needs of the industry.
Integration
Building upon the large-scale data production, we aim to establish foundational standards for various robots. Additionally, we will develop a fundamental simulation platform to drive intelligent data collection across all domains.
Products
What we have done.
IO-AI is a foundational scene data provider and solution verification expert for global AI and robotics research enterprises and institutions, based in Shenzhen. IO-AI was founded by experts in the robotic and AI industries and builds foundational datasets for different application scenarios through embodied data collection.
Timeline
2023.05.04
The company was established
2023.10.01
Embodiment data demo with our new devices
2024.01.15
Complete a set of robot teleoperation system
2024.06
Release open-source dataset, join the waiting list
Chen Xiangyu is a robotics expert and a Ph.D. graduate from the University of Tokyo. Chen has published dozens of papers in leading robotic journals and top international conferences. Chen has represented the University of Tokyo in renowned international robotics competitions such as DRC and MBZIRC.
Robotics expert, Ph.D. from the University of Tokyo, postdoctoral researcher at the Swiss Federal Institute of Technology in Zurich (ETH), has published dozens of papers in prominent robotics journals and top international conferences. Proficient in robot reinforcement learning control and robot simulation.
Xu Liangwei is an expert in autonomous driving and robot software. He graduates from the Department of Intelligent Science at Peking University. Xu specializes in the research and development of robotic systems and robot middleware. He has been involved in multiple unmanned systems projects.
Liu Ning holds a Ph.D. from the University of Tokushima. His research focuses on affective computing and humanoid robotics, as well as natural language processing and multimodal domains. Liu has published dozens of research papers. He was awarded the IEEE NLP-KE Best Paper.
What we want is to make something different
Contact Us
Email: io@io-ai.tech
Phone: (+86) 0755-86658865
