Robotics

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AI system learns to keep warehouse robot traffic running smoothly

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, Electrical engineering and computer science (EECS), IDSS, Laboratory for Information and Decision Systems (LIDS), Logistics, Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering, Supply chains

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns.To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic […]

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Wristband enables wearers to control a robotic hand with their own movements

ai, AI (Artificial Intelligence), Artificial Intelligence, Assistive technology, Augmented and virtual reality, Biomechanics, Computer vision, Human-computer interaction, Machine Learning, Mechanical engineering, Research, Robotics, School of Engineering, Sensors

The next time you’re scrolling your phone, take a moment to appreciate the feat: The seemingly mundane act is possible thanks to the coordination of 34 muscles, 27 joints, and over 100 tendons and ligaments in your hand. Indeed, our hands are the most nimble parts of our bodies. Mimicking their many nuanced gestures has

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The Week’s 10 Biggest Funding Rounds: Investment Slows, But Security And AI Remain Top Picks

ai, AI (Artificial Intelligence), Artificial Intelligence, biotech, cybersecurity, Health, Wellness & Biotech, Healthcare, manufacturing, Media & entertainment tech, Robotics, Social media, Startups, unicorn, Venture

Want to keep track of the largest startup funding deals in 2025 with our curated list of $100 million-plus venture deals to U.S.-based companies? Check out The Crunchbase Megadeals Board. This is a weekly feature that runs down the week’s top 10 announced funding rounds in the U.S. Check out last week’s biggest funding deal

The Week’s 10 Biggest Funding Rounds: Investment Slows, But Security And AI Remain Top Picks Read More »

The Week’s 10 Biggest Funding Rounds: Investment Slows, But Security And AI Remain Top Picks

The Week’s 10 Biggest Funding Rounds: Investment Slows, But Security And AI Remain Top Picks Read More »

Generative AI improves a wireless vision system that sees through obstructions

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Electronics, Imaging, Machine Learning, Media Lab, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Architecture and Planning, School of Engineering, Sensors, Wireless

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items.Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches. The

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MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Careers, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Industry, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural Language Processing, Research, Robotics, School of Engineering

The early years of faculty members’ careers are a formative and exciting time in which to establish a firm footing that helps determine the trajectory of researchers’ studies. This includes building a research team, which demands innovative ideas and direction, creative collaborators, and reliable resources. For a group of MIT faculty working with and on artificial

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Ai2: Building physical AI with virtual simulation data

ai, AI (Artificial Intelligence), ai2, Artificial Intelligence, Computer vision, development, Features, How It Works, Models, Open Source, physical ai, Robotics, Simulation

Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot. Instructing hardware to interact with the real world has historically relied on highly expensive and manually-collected demonstrations. Technology providers building generalist manipulation agents typically frame extensive real-world training as the basis for these systems. For some

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New partnership to offer smart robots for dangerous environments

ai, AI (Artificial Intelligence), Artificial Intelligence, automated systems, edge ai, edge computing, iiot, Manufacturing & Engineering AI, physical ai, Robotics

ADLINK Technology has signed a strategic alliance and joint development agreement with Under Control Robotics, the company behind the robotics startup Noble Machines. The two firms will combine ADLINK’s edge AI platforms with Noble Machines’ autonomy software to create a new generation of general-purpose robots for modern manufactories and engineering plants. The work focuses on

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How physical AI integration accelerates vehicle innovation

ai, AI (Artificial Intelligence), AI Hardware & Chips, AI in Action, Artificial Intelligence, autonomous cars, Computer vision, edge computing, Features, How It Works, Inside AI, mobility, physical ai, qualcomm, Robotics, transport, wayve

The integration of physical AI into vehicles remains a primary objective for automakers looking to accelerate innovation. A technical collaboration between Qualcomm and Wayve offers a framework for how hardware and software providers can consolidate their efforts to supply production-ready advanced driver assistance systems to manufacturers worldwide. The partnership combines Wayve’s AI driving layer with

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A better method for planning complex visual tasks

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, Computer vision, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, Robotics, School of Engineering

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing techniques.Their method uses a specialized vision-language model to perceive the scenario in an image and simulate actions needed to reach a goal. Then a second model translates those simulations

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