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reinforcement learning

After doing the laundry, Figure AI humanoid robot loads the dishwasher

September 4, 2025 by Mai Tao

Helix, humanoid robotics specialist Figure AI’s Vision Language Action (VLA) model, has shown it can “adapt to dramatically different real-world challenges with nothing more than new data”.

After folding laundry and rearranging packages, Helix is now taking on another everyday task: loading a dishwasher.

At first glance, loading a dishwasher sounds like a simple task – just pick up each object and place it in the dishwasher. [Read more…] about After doing the laundry, Figure AI humanoid robot loads the dishwasher

Filed Under: Humanoids, News Tagged With: ai robotics, automation software, google deepmind, graph neural networks, industrial robots, intrinsic, manufacturing automation, multi robot orchestration, reinforcement learning, robot motion planning

Intrinsic and Google DeepMind unveil AI breakthrough for multi-robot orchestration

September 4, 2025 by Mai Tao

Intrinsic, a robotics software company owned by Alphabet, parent company of Google, has announced a major advance in artificial intelligence that enables multiple industrial robots to work together in shared environments without colliding.

The development stems from long-term research led by Google DeepMind Robotics – now apparently rebranded as Gemini Robotics – in collaboration with Intrinsic and University College London.

Details of the project were published in Science Robotics under the title “RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning”. [Read more…] about Intrinsic and Google DeepMind unveil AI breakthrough for multi-robot orchestration

Filed Under: News, Software Tagged With: ai robotics, automation software, google deepmind, graph neural networks, industrial robots, intrinsic, manufacturing automation, multi robot orchestration, reinforcement learning, robot motion planning

GreyOrange teams up with Google Cloud on ‘breakthrough warehouse AI’

August 14, 2025 by Mai Tao

GreyOrange, a provider of warehouse orchestration software and hardware, has agreed a collaboration with Google Cloud to develop GreyMatter DeepNav, an AI-powered solution for dynamically managing and optimizing autonomous robotic operations at scale.

GreyMatter DeepNav will bring unprecedented levels of automation, efficiency, and accuracy to warehouse management for retail, logistics, and supply chain companies worldwide.

Large warehouses use Autonomous Mobile Robots (AMRs) to streamline and accelerate operations across the work floor, from receiving to storage, picking, packing, and shipping. But despite the clear benefits of AMRs, many companies struggle with the lengthy ramp-up time of new deployments. [Read more…] about GreyOrange teams up with Google Cloud on ‘breakthrough warehouse AI’

Filed Under: Computing, News Tagged With: ai path planning, amr deployment, autonomous mobile robots, google cloud, greyorange, logistics automation, reinforcement learning, supply chain technology, warehouse ai, warehouse automation

Pushing the boundaries of music: A humanoid robot learns to play the drums

August 13, 2025 by Mai Tao

An innovative project is transforming the relationship between AI, robotics, and creativity. At its core is a system that teaches a humanoid robot to play the drums – not through direct programming, but through a simulated learning process inspired by how musicians practice and improve. (Video on LinkedIn.)

Picture a live concert where, alongside human musicians, a humanoid robot takes its place behind the drum kit. Science fiction? Maybe for now — but it could soon become reality.

At the forefront of this breakthrough is Asad Ali Shahid, researcher at SUPSI (IDSIA USI-SUPSI) and lead researcher on the project Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming, developed in collaboration with Politecnico di Milano. [Read more…] about Pushing the boundaries of music: A humanoid robot learns to play the drums

Filed Under: Culture, News Tagged With: ai creativity, ai drumming, humanoid robot, musical robots, polimi robotics, reinforcement learning, robot drummer, robotics and music, simulated robotics training, supisi research

Reinforcement learning in robotics: Robots that learn from experience

August 8, 2025 by David Edwards

Reinforcement learning (RL) is transforming the way robots interact with the world.

Unlike traditional programming or supervised learning, which depend on pre-defined rules or labeled datasets, RL enables robots to learn through trial and error – much like how humans and animals acquire new skills.

This approach is increasingly vital as robots are deployed in complex, unstructured environments where adaptability is key. [Read more…] about Reinforcement learning in robotics: Robots that learn from experience

Filed Under: Artificial Intelligence, Features Tagged With: AI in robotics, Autonomous robots, industrial automation, machine learning, reinforcement learning, robot learning systems, robot training, robotic manipulation, robotics, trial and error ai

Google DeepMind releases new world model with ‘vast space’ to train robots and autonomous systems

August 6, 2025 by David Edwards

Google DeepMind has unveiled Genie 3, the latest version of its generative world model, describing it as a step forward in creating more intelligent and adaptable simulation environments – including those for robotics applications.

Although the company’s announcement focuses heavily on advancements in video prediction and general AI learning, Genie 3 has direct relevance for robotics developers who rely on high-fidelity, physics-aware simulation systems to train and test autonomous systems.

Described as a “world model,” Genie 3 can generate realistic interactive environments directly from a single image prompt and a short textual description, such as “driving down a highway at sunset” or “walking in a rainy city”. [Read more…] about Google DeepMind releases new world model with ‘vast space’ to train robots and autonomous systems

Filed Under: Design, News Tagged With: deepmind, embodied ai, generative ai, google genie 3, reinforcement learning, robot training, robotics simulation, simulation environments, virtual robotics, world model ai

The Construct launches ‘intensive hands-on training’ for Unitree humanoid robot

June 12, 2025 by Sam Francis

The Construct, a Spanish robotics education company celebrated for its innovative, browser-based simulation platform, is bringing theory to life with a new, intensive training course focused on programming the Unitree Robotics G1 humanoid robot.

The exclusive three-day, onsite event will be held in Barcelona from October 15-17, 2025.

Known for making complex robotics development more accessible through its online simulation environment, The Construct is now offering a rare opportunity for direct, hands-on experience with one of the industry’s emerging humanoid platforms. [Read more…] about The Construct launches ‘intensive hands-on training’ for Unitree humanoid robot

Filed Under: News, Robotics Tagged With: barcelona, hands-on robotics, humanoid robot, reinforcement learning, robot programming, robot simulation, robotics course, robotics training, the construct, Unitree G1

Webcast: CogitAI launches ‘industry’s first self-learning, actionable artificial Intelligence’

February 13, 2019 by Abdul Montaqim

CogitAI has launched what it says is the “industry’s first self-learning, actionable artificial Intelligence”. (See interview with CogitAI CEO below.)

The company says it is “delivering on the future promise of AI”. CogitAI says its Continua software as a service self-learning AI platform.

The Continua platform has the power to turn any process, system, software bot, or real robot into a self-learning autonomous service to drive actionable business outcomes, says CogitAI.  [Read more…] about Webcast: CogitAI launches ‘industry’s first self-learning, actionable artificial Intelligence’

Filed Under: Computing, Features Tagged With: artificial intelligence, cogitai, continuous learning, machine learning, reinforcement learning

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