What are the latest developments in AI Robotics? - with Mike Wooldridge 

To me, the most impressive example of AI in robotics is the development in Ukraine of self-learning AI embedded into prosthetic limbs, so that the limb learns to interpret the motor nerve impulses of the patient and gradually improves with use, and even gives feedback through the same sensory nerves which previously provided it, allowing the patient to self-teach the robotic prosthesis to move with exactly the right force and speed as they require. The reason we see thousands of robots used by industry and very few for domestic applications is simple - money. Industry has a vested interest in automation as it reduces cost and improves accuracy and repeatability, but not many households are willing or able to stump up the sort of money it takes to develop general-purpose domestic help robots.

To the comms folks and/or producers of this video: good job! It's no small thing to make academics and their research pursuits approachable and appealing.

The Royal Institute... Bringing you the latest information from the previous decade.

Summary: In this video, Michael Wuldridge, a professor of computer science at the University of Oxford, discusses artificial intelligence (AI) and its application in robotics. He explains that while AI is often associated with robots, progress in robotic AI has been slower compared to text-based AI. The Oxford Robotics Institute is working on state-of-the-art AI robotics, including designing robots for various applications such as industry, inspection, medical, and safe human interaction. The speaker highlights the challenges of robotic AI, including dealing with noise, sensors, and interactions with the environment. They express optimism about the progress being made but acknowledge that there is still much work to be done. Key themes: 1. The challenges of robotic AI compared to textual AI, including noise, sensors, and interactions with the environment. 2. The advancements and applications of AI robotics at the Oxford Robotics Institute. 3. The need for further scientific advancements in robotic AI.

How good/fast is virtual embodiment (accurate physical simulation of imperfect sensors and actuators) these days? Surely it then comes down to massive deep training of the kind used so successfully with the LLMs.

This had about the same insight as the snack aisle at a grocery store.

00:13 what questions were you asking chatgpt, Mike?

This lab is a fan of Really Useful Boxes. I approve.

Now I understand better the huge differences between pre-programmed robots and teaching robots to think for themselves. Not sure I can live with that without some important legislation being put in place to 😮protect human beings😮

I wonder how soon there will be androids like star trek's data, with super strength! Thank you for sharing.

No mention of real world simulations for training robots at the speed of a computer? There are now examples of actual robots trained entirely in virtual environments that cope quite well on their first encounter with the real world.

Im the first to like it, I liked the topic

The UK is living in the architecture, infrastructure and psychology of the past while the London Financial Sector empowers foreign innovation and Laogai manufacturing?

In the future, there will be robots.

1:10 NO. "AI" isn't any "harder" in the physical world. It's only hard because what you have IS NOT "AI".

Erm I don't believe this I mean look at Boston Dynamics In what they show us and what they don't show us via the military side.

🤖 😮❕

It should be noted that Artificial Intelligence has nothing to do with human intelligence. It in no way mimics the way that humans learn or think. AI does some things, well enough for them to be used in certain cases via statistical modeling (ie: language translation), but humans don’t operate this way. This is why AI language translations, for example, will never 100% match human translations. This is compounded by the fact that currently, AI runs on classical computers, while the human brain leverages quantum mechanics to process information.

Demos shown do not look as if we made much progress at all. Tesla robot currently appears to be at the apex in AI robotics.

What? So, there's still no plausible substitute for my laziness?

I predict that in about 30 years or less we will be able to build a life sized Johnny 5 who can do literally any and all jobs that a Human can do, except create good art. Will they be able to paint technically perfect paintings? Yes. Will they be as emotionally resonating? No.

boston dynamics

This is one of the best RU-vid channels...but people is not playing attention. Human kind is taking wrong roads

It feels like you made this video 20 years ago. For example, Tesla has over 5 million robotic cars on the road right now which use pure vision (from 8 or 9 video cameras, depending on model age) and neural nets to be able to see the 3D environment and drive around the road systems. Likewise, Tesla is also developing a humanoid robot using the same sensors and neural nets. After only 2 years of development, the robot is already many years advanced from anything you show here and is well on its way to solving Artificial General Intelligence. Please catch up with the times.

unneeded, distracting, annoying background music makes this video unwatchable.

Robotics is harder than text based AI. . . .I'm not saying he's wrong, I AM saying it would be nice if he would justify the claim. There is a reason robotics is harder than language, and 'embodiment' is not the right angle to view it from.

Lol, If I want to know about the latest advancements in AI and robotics I would listen to people making those advancements, not the Royal Institute. What a joke.

Физиков и философов придётся поставить в угол и выпороть хорошенько, а почему? Естественный интеллект обогнал развитие Человека в обществе людей и уже создаёт искусственный интеллект, а развитие общества людей отстало от естественного интеллекта, что может вести к окончанию цикла без начала нового цикла. Только в обществе людей человек может стать Личностью и обладая полномочиями от общества контролировать механизмы структур в том числе государственных с их кровотоком финансов. Что же произойдёт при незрелом обществе людей так и не научившихся держать под контролем естественный интеллект, перекладывающих основы Человека ответственность на механизмы искусственного интеллекта? В чём же причина незрелости? Философия как основа Человека и общества людей отсутствует напрочь, осталась демагогия " натянуть сову на глобус". В интересное время находимся в материальных процессах, естественный отбор с причинно следственными связями и цикличностью в иерархии, но, пришедшие в сей процесс " созданные по образу и подобию" так и не создавшие зрелого общества способного перейти из одного большого цикла в следующий отдав всё на волю естественного интеллекта или всё таки дозреем до разумности взять под контроль стяжательство и прочую пребуху материальных процессов.

If you believe replacing humans with machines to do work then those humans need to be paid accordingly. Regardless of how much the machine costs you can't replace the wage to the human so that's where the solution must come from. Not from the AI. Peace 😎 ✌️

Wwhy is there only something about the “AI” scam here?

I just don't get it. Robots and software have been around of decades. In the years that I've been around, very little real progress has been made. This may sound a bit offensive but the engineers working on these are just stupid. There is maybe 1 exception, the Atlas robot from Boston Dynamics.

Wow putting blocks on top of each other, please tell me this isn’t funded by the tax payer. They clearly haven’t progressed in 40 years, pathetic.

00:13 what questions were you asking chatgpt, Mike?