Researchers developed a decentralized control method for multi-humanoid robots to pick up and transport objects. This approach uses a shared control abstraction, allowing robots to learn from single-robot pickup and transfer those skills to cooperative multi-robot transport. The method was tested in simulation and on hardware, demonstrating success in various scenarios.