A dual-arm robotic system with custom tools enables the complete automated installation of structural parts to concrete surfaces in narrow construction environments.
A human-centered "work companion rover" prototype is designed to closely support carpentry workers in their existing, labor-intensive tasks by autonomously delivering tools and materials, bearing loads, and accompanying workers, while navigating complex construction environments through a contextual reinforcement learning-driven framework.