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Top 10 newest and most advanced humanoid robots in the world. Humanoid robot technology | Pro Robots

We are already living in the era of the fourth industrial revolution, but in the near future we will be facing another one that could really change everything. We are talking about the revolution of humanoid robots — versatile, intelligent and dexterous machines that can not only help, but also replace humans in tight places. In this video, we’ll tell you about the top 10 newest and most advanced humanoid robots in the world, and what technologies will make them truly versatile! Onward to a brighter future)

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0:00 A breakthrough in humanoid robots.
1:17 What technologies could make robots as dexterous as humans?
3:46 Digit, the first commercial humanoid robot from Agility Robotics.
5:18 New humanoid robot from Singapore.
6:45 What kind of humanoid robot has OpenAI invested in?
7:34 New Apollo robot from Apptronik.
9:00 CyberOne humanoid robot project from Xiaomi.
10:20 Unitree’s H1 robot.
11:07 XPENG’s agile and stable robot PX5
12:05 Sanctuary AI’s most agile robot Phoenix.
13:13 The world’s most advanced humanoid robot by Figure AI
15:18 Tesla Bot: Ilon Musk’s Humanoid Robot.
16:15 The world’s most advanced humanoid robot from Boston Dynamics.

Boston Dynamics Atlas. If you’ve been following robotics, you’ve likely seen this humanoid robot in action. Atlas is a pinnacle of robotic achievement, showcasing impressive mobility and coordination. Its advanced control system allows it to perform backflips, handstands, and navigate complex environments with ease. Atlas is not just a demonstration of technological prowess; it’s a glimpse into the future of robotics assisting in real-world scenarios.

Moving on to the Valkyrie robot from NASA. Initially designed for space exploration, Valkyrie boasts a humanoid form with an emphasis on strength and adaptability. Its design includes 44 degrees of freedom, making it highly flexible and capable of mimicking human movements. While initially intended for space missions, Valkyrie’s applications extend to disaster response and exploration of challenging terrains.

Now, let’s talk about the Tesla Bot. Yes, you heard it right, Tesla is venturing into humanoid robotics. Elon Musk unveiled the Tesla Bot with a vision to eliminate dangerous, repetitive, and boring tasks performed by humans. While specific details are still emerging, the idea is to create a humanoid robot using Tesla’s expertise in electric vehicles and AI. The Tesla Bot aims to be a general-purpose, capable machine for a variety of everyday tasks.

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Multiple AI models help robots execute complex plans more transparently

The HiP framework developed MIT_CSAIL creates detailed plans for robots using the expertise of three different foundation models, helping it execute tasks in households, factories, and construction that require multiple steps.

“All we want to do is take existing pre-trained models and have them successfully interface with each other,” says Anurag Ajay, a PhD student in the MIT Department of Electrical Engineering and Computer Science (EECS) and a CSAIL affiliate. “Instead of pushing for one model to do everything, we combine multiple ones that leverage different modalities of internet data. When used in tandem, they help with robotic decision-making and can potentially aid with tasks in homes, factories, and construction sites.”

These models also need some form of “eyes” to understand the environment they’re operating in and correctly execute each sub-goal. The team used a large video diffusion model to augment the initial planning completed by the LLM, which collects geometric and physical information about the world from footage on the internet. In turn, the video model generates an observation trajectory plan, refining the LLM’s outline to incorporate new physical knowledge.

This process, known as iterative refinement, allows HiP to reason about its ideas, taking in feedback at each stage to generate a more practical outline. The flow of feedback is similar to writing an article, where an author may send their draft to an editor, and with those revisions incorporated in, the publisher reviews for any last changes and finalizes.

Researchers develop AI-driven Machine-Checking Method for Verifying Software Code

A team of computer scientists led by the University of Massachusetts Amherst recently announced a new method for automatically generating whole proofs that can be used to prevent software bugs and verify that the underlying code is correct.

This new method, called Baldur, leverages the artificial intelligence power of large language models (LLMs), and when combined with the state-of-the-art tool Thor, yields unprecedented efficacy of nearly 66%. The team was recently awarded a Distinguished Paper award at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.

“We have unfortunately come to expect that our software is buggy, despite the fact that it is everywhere and we all use it every day,” says Yuriy Brun, professor in the Manning College of Information and Computer Sciences at UMass Amherst and the paper’s senior author.

Organoid Intelligence Overtaking AI

Organoid intelligence is the growing of mini-brains from human stem cells, which has potential benefits for medical research and treatments.

However, there are significant ethical concerns related to the possibility of creating conscious entities and the potential for misuse. Organoid intelligence could offer valuable insights into neurological diseases, but we must establish a framework for their creation and treatment to ensure ethical use. As we continue to develop this technology, we must approach it with caution due to the potential dire consequences of its misuse.

#organoidintelligence #artificialintelligence #ethics

AI comes up with battery design that uses 70 per cent less lithium

Artificial intelligence can accelerate the process of finding and testing new materials, and now researchers have used that ability to develop a battery that is less dependent on the costly mineral lithium.

Lithium-ion batteries power many devices that we use every day as well as electric vehicles. They would also be a necessary part of a green electric grid, as batteries are required to store renewable energy from wind turbines and solar panels. But lithium is expensive and mining it damages the environment. Finding a replacement for this crucial metal could be costly and time-consuming, requiring researchers to develop and test millions of candidates over the course of years. Using AI, Nathan Baker at Microsoft and his colleagues accomplished the task in months. They designed and built a battery that uses up to 70 per cent less lithium than some competing designs.

Back UK creative sector or gamble on AI, Getty Images boss tells Sunak

Rishi Sunak needs to decide whether he wants to back the UK’s creative industries or gamble everything on an artificial intelligence boom, the chief executive of Getty Images has said.

Craig Peters, who has led the image library since 2019, spoke out amid growing anger from the creative and media sector at the harvesting of their material for “training data” for AI companies. His company is suing a number of AI image generators in the UK and US for copyright infringement.

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