Despite significant advancements in AI, robots still lack the adaptability and general intelligence needed for varied industrial and home tasks, limiting their current capabilities.
The potential for more versatile robots lies in promoting general abilities that can adapt to the complexities of human environments, an area where current machines fall short.
Elon Musk's Tesla is working on a humanoid robot, Optimus, which is projected to perform most tasks by 2040, indicative of rising optimism for robotics.
Recent projects like Google's Open X-Embodiment demonstrate that with enough scale and fine-tuning, robots can transfer learning between different tasks, challenging previous learning limitations.
Collection
[
|
...
]