1. Build simulation scenario modeling solutions, collect real scene data, and build a highly available robot simulation scenario library based on Isaac Sim, supporting sensor simulation rendering, physical simulation interaction, etc., continuously iterating scenario modeling accuracy, availability, and efficiency; 2. Enhances the authenticity of physical interaction operations in embodied intelligent simulation, improving the migration rate of sim-real; 3. Optimize the 3D reconstruction algorithm for large-scale simulation scenes to improve the efficiency and realism of scene reconstruction; 4. Build a simulation scenario evaluation indicator system to provide a basis for scenario effect evaluation;

1. Lead the technical team in developing industry-leading end-to-end embodied intelligent algorithms to solve precise robot operation problems in real-world scenarios; 2. Responsible for collaborating with software and hardware teams for algorithm deployment, debugging, and validation to achieve real-world real-world implementation; 3. Collaborating with top university academic teams to tackle cutting-edge embodied intelligence technology issues, producing papers at top conferences and journals, and participating in academic exchanges.

1. Responsible for mobile robot system software development, including but not limited to core foundational software design and development for communication middleware, hardware resource packaging, system scheduling, etc.; 2. Responsible for the development of mobile robot system application services, including but not limited to core foundational services such as system state machines, diagnostics, OTA, and startup management; 3. Responsible for developing robot applications based on the ROS operating system; 4. Participate in robot software integration and testing.

1. Lead the technical team in developing industry-leading end-to-end embodied intelligent algorithms to solve precise robot operation problems in real-world scenarios; 2. Responsible for collaborating with software and hardware teams for algorithm deployment, debugging, and validation to achieve real-world real-world implementation; 3. Collaborating with top university academic teams to tackle cutting-edge embodied intelligence technology issues, producing papers at top conferences and journals, and participating in academic exchanges.

1. Simulation Scene Setup and Reconstruction: Based on real industrial scenarios (such as factory production lines), collect data (point clouds, CAD drawings, images, etc.) to build highly realistic 3D physical simulation scenes in the NVIDIA Plastic Sim environment; 2. Asset and material management: Establish and maintain a embodied intelligent simulation asset library, process USD format files, optimize model lighting, materials, and textures to meet the synthetic data generation needs of visual algorithms; 3. Physical attribute configuration: Accurately configure physical parameters (such as mass, friction, colliding body, joint damping, soft/rigid body dynamics, etc.) for objects and robots in the simulation scenario, minimizing the Sim-to-Real physical gap; 4. Collaboration and Environment Optimization: Works closely with reinforcement learning and visual perception algorithm engineers, using Isaac Sim's Python API to achieve parametric scene generation and domain randomization, providing a stable and efficient simulation environment for parallel training of downstream models.

1. Build a reinforcement learning training platform (Python/C++) based on 1saac Lab, including overall architecture design and development, simulation/interaction/training/evaluation and other core module design and development Fa, etc.; 2. Continuously optimize simulation and enhance the effectiveness and efficiency of learning and training to improve large-scale task training capabilities; 3. Build supporting tools and front-end interactive pages for simulation training platforms to improve platform usability: