RoboScience - 机器科学
Chinese embodied-AI company building cross-embodiment general manipulation foundation models for robots.
RoboScience (legal entity Beijing Jike Future Technology Co., Ltd.) is a Chinese embodied-AI company founded in December 2024 that develops general-purpose embodied intelligence for robots. Its core technology is the self-developed Visics general embodied foundation model, designed with cross-embodiment generalization so that any robot can manipulate any object to complete any task. The model is trained efficiently on large volumes of combined simulation and video data, following an integrated hardware-software technical route aimed at building next-generation robots that can autonomously execute complex tasks.
The company has introduced a VLOA model family that fuses an embodied world model with a general manipulation model, using 3D point-cloud trajectories to translate physical understanding into precise, cross-embodiment robot actions. RoboScience also develops RoboMirage, a high-precision general physics simulation platform featuring an extensible contact-modeling framework, high-fidelity multi-body dynamics, industrial-grade stability, a Pythonic API, and GPU-driven heterogeneous acceleration. In February 2026 the company announced the completion of a Pre-A financing round of several hundred million RMB to advance large-scale deployment of embodied intelligence. RoboScience maintains operations in Beijing, Shenzhen, and Suzhou and positions itself as a developer of general embodied-AI software and models rather than a single-product hardware manufacturer.
Primary type & automation activities this supplier delivers:
Visics General Embodied Foundation Model
Cross-embodiment general embodied foundation model enabling any robot to manipulate any object.
RoboMirage
High-precision general physics simulation platform for robotics with GPU acceleration.
Contact RoboScience
WEBSITE
https://www.roboscience.coPHONE
+86 400 500 8888HEADQUARTERS
China
Company Facts
Founded
2024
Primary Role
Software/Algorithm
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
RoboScience Launches REX G1 Humanoid Robot with 22 Degrees of Freedom and Quick Battery Swap
RoboScience, a Beijing-based embodied intelligence company, has unveiled the REX G1 humanoid robot on August 17. Designed for logistics, manufacturing, retail, and domestic use, the REX G1 features 22 degrees of freedom, enabling it to perform complex tasks in dynamic environments. Its capabilities include simultaneous walking, lifting, and grasping, making it versatile for various applications. The introduction of the REX G1 is significant as it addresses the limitations of traditional warehouse robots, which often require modifications to existing facilities. With a design that allows it to navigate through tight spaces and work at various heights, the REX G1 can adapt to current operational setups without the need for extensive changes. This flexibility is crucial for industries looking to enhance efficiency without incurring high costs. Looking ahead, the REX G1's advanced features, including its 360-degree stereo vision and adaptive lighting, will be key to its performance in real-world scenarios. The robot's ability to operate in low-light conditions and its precise repeatability of ±0.1 mm position it as a competitive solution in the robotics market. No further timeline was disclosed at the time of publication.
AI and Robotics
RoboScience Unveils REX G1: A Multifunctional Wheeled Humanoid Robot for Diverse Applications
On August 17, RoboScience officially launched the REX G1, a versatile wheeled humanoid robot designed for various operational scenarios. This robot, equipped with RoboScience's proprietary VLOA architecture and Visics model, aims to enhance productivity in logistics, factories, retail, and home environments by executing complete tasks in dynamic, unstructured settings. The significance of REX G1 lies in its ability to integrate mobility and operational capabilities, addressing the limitations of traditional robots that often operate in isolation. With 22 degrees of freedom, REX G1 can perform tasks with high precision, including object handling and positioning, while adapting to existing spatial layouts without requiring modifications. Looking ahead, REX G1's advanced perception and control systems allow it to function effectively in complex environments, reducing reliance on external infrastructure. No further timeline was disclosed at the time of publication.
Humanoid Robots Logistics Automation AI Robotics Warehouse Automation
RoboScience Unveils First Cloud-Based Large Model for Robotics at WAIC
At the WAIC, RoboScience showcased a groundbreaking cloud-based embodied large model named Visics, capable of controlling multiple robotic hands. This innovation allows for seamless switching between different robotic hands while maintaining operational efficiency, demonstrating the ability to recognize and grasp various objects autonomously within 30 seconds. The significance of this development lies in its potential to revolutionize robotic operations across diverse applications. By enabling a single model to adapt to various hand configurations, Visics enhances the versatility of robotic systems, allowing them to perform complex tasks without the need for extensive retraining when hardware changes occur. Looking ahead, the industry will be keen to observe how Visics performs in real-world scenarios and its ability to execute long-term tasks by integrating multiple actions. No further timeline was disclosed at the time of publication.
Robotics Cloud Computing AI Automation Object Recognition
China's Embodied AI Models Gear Up for Competition Ahead of WAIC 2026
China's leading tech companies are intensifying their efforts in embodied AI as they prepare for the WAIC 2026 event in Shanghai, scheduled for July 17. This year's competition is marked by the launch of several advanced models, including Xiaomi's X0, a multimodal generative model with 38 billion parameters designed to enhance robotic training data generation. The significance of this competition lies in the critical need for physical interaction data, which is currently lacking by over 99%. Xiaomi's generative model aims to address this gap by autonomously generating and augmenting training data without the need for new data collection, thereby improving efficiency by 83 times. The event will showcase over 200 companies, highlighting the growing importance of embodied intelligence in the tech landscape. As the industry evolves, companies like Tencent Cloud and RoboScience are also making strides with cloud-based embodied AI services. The competition at WAIC 2026 will be pivotal, as companies vie for dominance in the emerging ecosystem of embodied intelligence, with advancements in visual understanding and cognitive reasoning being key areas of focus.
Embodied AI Robotics Data Synthesis Open Source Cognitive Computing
"Connecting Cognition and Execution through Object Trajectories, RoboScience Machine Science Releases Embodied Large Model Visics"
RoboScience Machine Science has announced the release of its latest innovation, Embodied Large Model Visics, aimed at bridging the gap between cognitive processes and physical execution through the analysis of object trajectories. This development, unveiled in October 2023, seeks to enhance the understanding of how cognitive functions can inform and improve robotic movements and interactions with the environment. By integrating advanced modeling techniques with real-time data on object trajectories, the new system promises to refine robotic capabilities in various applications, from manufacturing to autonomous navigation. The initiative reflects a growing interest in the intersection of cognitive science and robotics, highlighting the potential for more intuitive and responsive robotic systems.
Robotics Automation AI
RoboScience launches Visics, a versatile embodied model for cross-ontology, cross-object, and cross-task applications.
On June 24, RoboScience, a company specializing in embodied intelligence, unveiled its self-developed Visics large model, introducing the innovative VLOA (Vision-Language-Object-Action) architecture. This announcement marks a significant advancement in the field, demonstrating the model's applications in real-world scenarios such as furniture assembly, dexterous grasping, and dynamic assembly lines. The current landscape of embodied intelligence lacks a universally accepted foundational representation unit, which hampers data collection, model learning, and the transfer of knowledge to new contexts. Traditionally, models have focused on replicating specific robotic movements tied to particular tasks, limiting their adaptability to new robots, objects, or environments. Founder and CEO Tian Ye highlighted three major challenges in robotic operations: poor generalization, difficulty in precise manipulation, and cumulative errors in long-range tasks. To address these issues, RoboScience has developed a new foundational representation unit from the ground up. The Visics model employs a dual-engine architecture, consisting of an embodied world model and a universal operation model, each operating independently. The embodied world model utilizes vast amounts of internet video data to learn the physical dynamics of objects, while the operation model translates object trajectories into actionable commands for robots. This layered design enhances the model's generalization capabilities across various robotic platforms and tasks. RoboScience's innovative approach also includes a high-precision simulation engine, RoboMirage, which, combined with automated video data annotation, significantly reduces data acquisition costs. The company aims to build a comprehensive dataset of over 1 terabyte of high-quality manipulation trajectories by 2026. Since its inception, RoboScience has garnered support from multiple investors and established research and production centers in major Chinese cities. The company plans to collaborate with various sectors, including retail and logistics, to standardize robotic products for industrial and commercial applications by the end of this year.
RoboScience Unveils Visics, a General-Purpose Embodied AI Model
On June 24, RoboScience, a Beijing-based company specializing in embodied intelligence, launched its new general-purpose embodied AI model, Visics. This innovative model is designed to enhance robotic capabilities by integrating advanced perception and decision-making processes. The unveiling took place in Beijing, showcasing Visics' potential applications across various industries, including healthcare, manufacturing, and service sectors. The development of Visics aims to address the growing demand for intelligent automation solutions that can adapt to complex environments and tasks. By leveraging cutting-edge technology, RoboScience seeks to position itself at the forefront of the AI revolution, offering tools that can significantly improve operational efficiency and effectiveness in diverse applications.
EmbodiedAI
RoboScience Advances Embodied Intelligence Towards the VLOA Era at ICRA
RoboScience is making strides in the field of embodied intelligence with its innovative Vision-Language-Object-Action (VLOA) framework, designed to improve robotic capabilities by enabling robots to predict changes in objects within dynamic environments. The company recently gained notable recognition at the International Conference on Robotics and Automation (ICRA), where it presented groundbreaking research focused on robotic manipulation and dual-arm collaboration. This research aims to tackle the complexities faced in real-world applications, positioning RoboScience at the forefront of advancements in robotics.
Embodied Intelligence Robotic Manipulation Dual-Arm Robotics AI VLOA
