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We believe that the next generation of physics engines and space intelligence simulations are crucial for the universal brain training of robots, and are important cornerstone technologies for the future robotics industry. They are also the key to bridging the "last mile" of the robotics industry's landing.
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-The next generation of humanoid robots that integrate Deepseek and deep thinking modules, possess active thinking and behavioral abilities, as well as corresponding voice and instant response capabilities;
-Loading the OASIS simulation and reinforcement learning system, binding it with the OASIS simulation and reinforcement learning system, can transfer the skills learned by robots in the OASIS system to the real world, and complete more tasks that ordinary robots cannot complete;
-C1 is designed based on a wheeled pedestrian robot architecture, with higher degrees of freedom and the ability to work in confined spaces. In order to meet the requirements of faster and narrower space operations, it can complete various tasks with more stable mobility compared to traditional bipedal robots;
-Multi scenario vertical demand satisfaction and landing capability, equipped with OASIS Star Harbor program training covering over 300+vertical scenarios and 2000+task systems in home, industrial, and commercial use, expanding the intelligent generalization problem of humanoid robots in multi scenario and multi task systems;
Intelligent training school for robots ->Data generalization ability ->Multi scenario landing ability
The development of AGI has entered the 3D era, and "data" is becoming a "shortcoming" that restricts the entire development of AGI after "models" and "computing power". Especially in the embodied field, the goal of the Star Harbor Plan is to build the largest robot reinforcement learning simulation and data acquisition center in Asia, supporting both synthetic and real data acquisition methods, supporting different types of robot objects such as pedestrian, quadruped, biomimetic, as well as 3000+vertical scene SIM2REAL training and RL data storage and migration, helping the robot industry quickly solve the "last mile" landing pain point and achieve commercial capabilities in different scenarios;
get detailsEnd to end integration of robot simulation, physical simulation, reinforcement learning, data storage migration, and intelligent generalization system solution
Support 100+robots, robotic dogs, bionic robots, robotic arms, drones, rockets, and other mechanical objects;
Support 1000+scenarios coverage and multi task combination training system for home, commercial, industrial, etc;
Support various sensors, including vision based sensors, radar, and custom sensors;
Covering traditional physics simulations as well as cutting-edge simulations such as material mechanics and multi physics field simulations;
Reinforcement learning system and scalable data, supporting two collection methods: synthetic data and real data;
Multiple systems and interfaces, supporting both RO1 and ROS2 , supporting multiple programming languages and external API interfaces;
Application coverage of robots in home scenarios
Application coverage of robots in industrial scenarios
Application coverage of robots in commercial scenarios
Application coverage of robots in medical scenarios
Application coverage of robots in educational scenarios
Application coverage of robots in tourism scenarios
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