Replying to Avatar Kis Sean

https://www.youtube.com/watch?v=NYd0QcZcS6Q&t=1s&ab_channel=MicrosoftAutonomousSystems%26RoboticsResearch

"ChatGPT for Robotics"

Is this the future of low code/no code? It seems greatly reduced the barrier between user and robotic controls in the real world. The world map, item location and robot movement are pre-defined/pre-implemented high-level APIs, especially movements between different robots are unified as much as possible. So, the AI will handle the part that convert human language of the desire set of action of the robot into codes to interact with those APIs. This is a huge amount of work and communication for human, so it will certainly make robotic more accessible for average user.

I think this will make robotics thrive, instead of robotic workers being replaced. Kinda like how Uber/Doordash makes delivery/paid ride more accessible to the drivers and customers. Maybe there will be a lot of human workers instructing and monitoring robots doing other jobs.

这是低代码/无代码的未来吗?它似乎极大地降低了用户与现实世界中机器人控制之间的障碍。世界地图、物品位置和机器人移动/动作都是预定义/预实现的高层更抽象的API,不同机器人之间的移动/动作API要尽可能统一。AI会生成将 人类语言 转换为 与这些API交互 的代码。这活人类来做的话,需要巨大的工作量,沟通和各种损耗,因此这种AI系统肯定会使普通用户更容易做到控制机器人。

我认为造成的结果更倾向是机器人行业得到发展,而不是机器人替代工人。有点像Uber / Doordash如何使司机和客户更容易获取送货/付费乘车服务。未来或许会有许多人的工作是,控制和监视其他机器人工作。

#AI #robotics #future #job #career #SharingEconomy

https://twitter.com/tonyzzhao/status/1640393026341322754

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