Job Description
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.
Qualifications
- Min Bachelor’s degree in Computer Science, AI, Robotics, or a related discipline.
- Expertise in Computer Vision, 3D Point Cloud processing, and Deep Learning frameworks.
- Solid foundation in 3D geometry, visual SLAM, and generative AI methods applied to robotic manipulation.
- Open to Fixed Term Contract.
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