According to @physical_int, a comprehensive set of AI behavioral cloning baselines—including Diffusion Policy, WB-VIMA, ACT, BC-RNN, as well as pre-trained VLA models like OpenVLA and π_0—has been provided to accelerate robotics research and experimentation. These baseline models represent state-of-the-art approaches in imitation learning, enabling researchers to quickly benchmark and iterate on new algorithms. The inclusion of both classic and pre-trained models supports rapid development and evaluation of AI-driven robotic policies, ultimately lowering the barrier to entry for innovation in robotics and AI applications (source: @physical_int, Twitter).