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personal reflection, personal essay, or argumentative essay that states a Wikipedia editor's personal feelings or presents an original argument about a topic. (December 2023) |
Robot dexterity intelligence (RDI) is the ability of a robot to manipulate objects with precision and flexibility, using sensors, actuators, and algorithms. [1] It is a challenging task for robots, as they have to deal with the complexity and variability of the real world. Robot dexterity intelligence can enable robots to perform tasks that are too repetitive for humans to get exhausted, such as assembling gadgets, loading dishwashers, or helping elderly people. [2] It is comparable to Artificial General Intelligence (AGI) in a sense that robots will have similar level of dexterity intelligence to humans when it can manipulate objects with precision and flexibility in places where humans work or live. Though humanity are close to AGI thanks to advent of tools such as ChatGPT, Google Bard, Meta's Llama, robots are not agile or efficient at performing physical world tasks. The RDI concept argues that robots will learn by watching humans directly or from videos using deep learning or machine learning quickly.
There are different approaches to achieve robot dexterity intelligence, such as using reinforcement learning, neural networks, or vision-based methods. [3] Some examples of companies that are building robots that can demonstrate high levels of dexterity are:
Robot dexterity intelligence is an active area of research that aims to improve the capabilities and applications of robots in various domains. It is also a fascinating topic for human curiosity and imagination.
![]() | Draft article not currently submitted for review.
This is a draft Articles for creation (AfC) submission. It is not currently pending review. While there are no deadlines, abandoned drafts may be deleted after six months. To edit the draft click on the "Edit" tab at the top of the window. To be accepted, a draft should:
It is strongly discouraged to write about yourself, your business or employer. If you do so, you must declare it. Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Last edited by
Citation bot (
talk |
contribs) 52 days ago. (
Update) |
![]() | This article is written like a
personal reflection, personal essay, or argumentative essay that states a Wikipedia editor's personal feelings or presents an original argument about a topic. (December 2023) |
Robot dexterity intelligence (RDI) is the ability of a robot to manipulate objects with precision and flexibility, using sensors, actuators, and algorithms. [1] It is a challenging task for robots, as they have to deal with the complexity and variability of the real world. Robot dexterity intelligence can enable robots to perform tasks that are too repetitive for humans to get exhausted, such as assembling gadgets, loading dishwashers, or helping elderly people. [2] It is comparable to Artificial General Intelligence (AGI) in a sense that robots will have similar level of dexterity intelligence to humans when it can manipulate objects with precision and flexibility in places where humans work or live. Though humanity are close to AGI thanks to advent of tools such as ChatGPT, Google Bard, Meta's Llama, robots are not agile or efficient at performing physical world tasks. The RDI concept argues that robots will learn by watching humans directly or from videos using deep learning or machine learning quickly.
There are different approaches to achieve robot dexterity intelligence, such as using reinforcement learning, neural networks, or vision-based methods. [3] Some examples of companies that are building robots that can demonstrate high levels of dexterity are:
Robot dexterity intelligence is an active area of research that aims to improve the capabilities and applications of robots in various domains. It is also a fascinating topic for human curiosity and imagination.