If you have ever wished for a robot to cook for you, that day is not far away. Stanford University has introduced Mobile ALOHA, an innovative system for learning hand manipulation skills through low-cost whole-body teleoperation. This robot technology overcomes the limitations of traditional imitation learning from human demonstrations, which typically focus on desktop manipulation without the necessary mobility and dexterity for real-world applications. Provided by Google Deepmind, Mobile ALOHA adds a mobile base and a whole-body teleoperation interface to the existing ALOHA system, enabling it to imitate complex manipulation tasks. The main purpose of this system is data collection, allowing it to learn and replicate various hand activities. This includes flipping and serving a shrimp, opening double-door cabinets to store heavy cooking utensils, calling and entering an elevator, and gently rinsing a used frying pan under the kitchen faucet. It has the ability to be jointly trained with the existing static ALOHA dataset, significantly improving Mobile ALOHA's performance on manipulation tasks. The research team also found that by jointly training with 50 demonstrations of each task, the success rate can be increased to 90%. This significant improvement enables Mobile ALOHA to handle complex and dynamic scenes, demonstrating its potential for real-world applications and surpassing the limitations of traditional robots. From improving efficiency in kitchen tasks to navigating complex environments such as elevators, this breakthrough opens the door to a new era of robots, allowing machines to perform a wide range of manipulation tasks with precision and adaptability. One key feature of Mobile ALOHA is its cost-effectiveness, making it an accessible and practical solution for advancing robot research. The system utilizes supervised behavior cloning, using data collected during teleoperation to train the robot to autonomously perform tasks. 2023 is a year of significant advancements in the field of robot technology. For example, Boston Dynamics has upgraded the Atlas robot for complex building tasks, while Microsoft has enabled ChatGPT to command robot arms and drones. Elon Musk's Tesla is working on the development of its humanoid robot, Optimus. Demonstrations in September involving yoga exercises and in December handling fragile objects like eggs showcased Optimus' growing capabilities. Built Robotics has introduced the RPD 35 solar-powered pile driving robot. Viam software has released a universal version that supports robot developers, and a collaborative project has resulted in a tomato-picking robot powered by ChatGPT.