前言: 本文介绍了一种利用OpenAI的ChatGPT将自然语言指令转换为可执行的机器人动作的新方法。文章令ChatGPT同时接收指令和文本环境数据,并输出任务计划和更新的环境。这些环境数据在随后的任务规划中重复使用,…
AI代码解释 Generate Python code that matches the following requirements:Use an instance of the MyCobotControllerclassrobotto perform a specific action.The instance already contains methods suchasmove_to_zero()toreturnto the initial position,grab_position()to move to the grab position,andplus_x_coord...
Microsoft said ChatGPT output shouldn’t be used directly to control a robot without “careful analysis”, but experts warn that it is risky to even begin thinking about placing Al in control of physical machines.(微软和Open Al都没有回应对此发表评论的请求,但微软表示,ChatGPT允许用户监控整个过程...
robot有一个实际航行的速度值, 该值不能超过配置常数值SubmarineSpeed)最后,将水流速度纳入考虑,得到robot的掌舵航行速度向量,该掌舵航行速度向量作为最终指令(一个包含3个数字的list),输出给robot 2024-01-08 20:22:39,425 - 3_dimensions_demo - INFO - USER: 这是第0轮对话。target...
robot = Newmycobot() robot.grab_action() 5.初步成果与展示: 我们先来个快速的调试,用web版本的ChatGPT来实践一下。 复制生成的代码去运行。 可以看到简单的测试是OK的。 6. 结论: 本次的记录就到这里,整个项目还未完成,在未来不久的日子里我将会继续完善这个项目,下一篇的内容我会完善整个项目,以及分享一...
Microsoft has used ChatGPT to create code for robotic arms and quadcopter drones from simple text commands given by humans, but experts warn that putting AI in control of such devices is a risky path
We gave ChatGPT access to functions that control a real drone, and it proved to be an extremely intuitive language-based interface between the non-technical user and the robot. ChatGPT asked clarification questions when the user’s instructions were ambiguous, and wrote complex code structures for...
3.Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. ICRA 2023. 4.Multi-agent reinforcement learning is a sequence modeling problem. NeurIPS 2022. 5.Offline pre-trained multi-agent decision transformer: One big sequence model conquers all starcraftii tasks. MIR 2023. ...
Transformers have been used for robot control and planning [25, 26, 27], object recognition [28], and robot navigation [29]. A more common use of transformers in robotics has been as feature extraction modules for one or more modalities simultaneously. These systems are often coupled with ...
Pre-training with Frozen Image Encoders and Large Language Models, https://arxiv.org/pdf/2301.12597.pdf31.Do As I Can,Not As I Say:Grounding Language in Robotic Affordances, https://say-can.github.io/32.Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control, ...