We are looking for a Research Assistant/Engineer to drive the “intelligence” of a next-generation construction robot.

Leading Track 1A of the project, you will develop enhanced environmental perception capabilities, allowing a modular robot to navigate unstructured construction sites, recognize temporary objects, and perform high-precision panel installations.

There are opportunities to apply state-of-the-art Embodied AI, including Vision-Language-Action (VLA) models and Diffusion Policies, to real-world robotic manipulation.

Key Responsibilities:

• Develop and implement multi-modal perception pipelines, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion.
• Design few-shot learning algorithms for robust detection of temporary construction objects and obstacles.
• Develop real-time vision measurement systems and intuitive human-machine interaction protocols (e.g., hand/body pose control) for 6-DoF panel alignment.
• Train and deploy cutting-edge manipulation policies (e.g., VLA models) utilizing high-performance compute clusters.