Found in Robotics News & Content, with a score of 0.70
…print, without assembly of subcomponents. Written in collaboration with MIT and the Soft Robotics Lab at ETH Zurich, the paper, titled “Vision-Controlled Jetting for Composite Systems and Robots,” demonstrates how VCJ opens a new frontier in manufacturing by expanding capabilities to synthetically recreate the intricate structure and functionality of natural organisms. Traditional manufacturing methods struggle to fabricate systems that mirror the intricate structures and varied material properties found in nature. VCJ rises to this challenge, offering the ability to accurately fabricate complex, multi-functional systems in a single print without the need to assemble subcomponents. “Our VCJ technology is a qualitative…
Found in Robotics News & Content, with a score of 0.64
…via Scene-Level Diffusion.” NVIDIA Jetson Orin supports Woods Hole, MIT robot development “Researchers are taking deep learning for a deep dive, literally,” said Scott Martin, senior writer at NVIDIA, in a blog post. The Woods Hole Oceanographic Institution (WHOI) Autonomous Robotics and Perception Laboratory (WARPLab) and the Massachusetts Institute of Technology are developing a robot to study coral reefs and their ecosystems. Some 25% of coral reefs worldwide have vanished in the past three decades, and most of the remaining reefs are heading for extinction, according to the WHOI Reef Solutions Initiative. The new WARPLab autonomous underwater vehicle (AUV) is…
Found in Robotics News & Content, with a score of 0.80
…ethics, and policy and joins the Institute from the MIT Media Lab. She said her work there over the past decade has focused on anticipating difficult questions that lawmakers, engineers, and the wider public need to address. With a background in law and economics, Darling is a former fellow at the Harvard Berkman Klein Center for Internet & Society and the Yale Information Society Project. She is also an affiliate at the Institute for Ethics and Emerging Technologies. The AI Institute said Darling’s team will explore immediate as well as long-term questions on the implementation and use of robots, their…
Found in Robotics News & Content, with a score of 0.38
…Robots), the Advanced Robotics for Manufacturing (ARM) Institute, and MIT Lincoln Lab. Other sponsors included 6K, Synagex, Quabbin Wire & Cable, Tooling U-SME, GBMP, Equinor, the Massachusetts Manufacturing Energy Collaborative, Skylitics, Hybrid CNC Parts, Spark Photonics, Mack Prototype, AB Corp, MRSI Myronic, Modern Mold and Tool, MassDevelopment, Massachusetts Life Sciences Center, and Associated Industries of Massachusetts. Organizing partners for the event included CAM, the Massachusetts Manufacturing Extension Partnership (MassMEP), FORGE, Worcester Polytechnic Institute (WPI), MassHire, and MassRobotics. The third annual Massachusetts Manufacturing Mash-Up included networking and educational opportunities. Source: CAM Mash-Up includes student activities This year's Massachusetts Manufacturing Mash-Up activities…
Found in Robotics News & Content, with a score of 0.25
…illness, some health professionals are still not convinced. At MIT, professor and psychologist Sherry Turkle said she worried that the interactions of machines “push us along a road where we’re encouraged to forget what makes people special.” “The performance of empathy is not empathy,” Turkle said. “The area of companion, lover therapist, best friend is really one of the few areas where people need people.” About the author Oliver Mitchell is a partner at ff Venture Capital. His areas of focus are drones, robotics, and applied AI. Mitchell is also an adjunct professor at Yeshiva University. This column is reposted…
Found in Robotics News & Content, with a score of 0.32
…recent years from the likes of both OpenAI and MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). While the former is better known today for ChatGPT, in 2018, it made headlines by training a human-like robot hand to manipulate physical objects with unprecedented dexterity by using a reinforcement learning algorithm and code. CSAIL also relied on advances in deep learning to reorient a robotic hand to handle over 2,000 objects. As the pace of AI innovation continues to accelerate, we’re not far from seeing deep learning models for robotic dexterity deployed in real-world assembly lines. Giving robots awareness of their…
Found in Robotics News & Content, with a score of 2.94
…contact events, planning for this task quickly becomes intractable. MIT researchers said they have found a way to simplify this process, known as contact-rich manipulation planning. They use an artificial intelligence technique called smoothing. It summarizes many contact events into a smaller number of decisions, to enable even a simple algorithm to quickly identify an effective manipulation plan for the robot. Manipulation planning promises new robotics applications While still in its early days, this method could potentially enable factories to use smaller, mobile robots that can manipulate objects with their entire arms or bodies, rather than large robotic arms that…
Found in Robotics News & Content, with a score of 0.24
…team: Dexai Robotics (principal investigator), Massachusetts Institute of Technology (MIT) Topic areas addressed: Automated robotic task planning Description: Fixed manipulators perform tasks that require speed and correctness. As the restaurant industry struggles to return to pre-pandemic levels and continues to navigate workforce shortages, robotics can help to fill the gap. This project will build upon Dexai Robotics’ existing product by doubling improvement on ingredient pickup robot moving time, improving the planning time for utensil pickup, and improving on meal throughput. While the use case is focused on the food industry, the deliverables from this project could benefit the broader robotics…
Found in Robotics News & Content, with a score of 2.44
…enhance the problem-solving capabilities of household robots. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are using machine learning to cut down on the typical iterative process of task planning that considers all possible actions. PIGINet eliminates task plans that can’t satisfy collision-free requirements, and it reduces planning time by 50% to 80% when trained on only 300 to 500 problems. Typically, robots attempt various task plans and iteratively refine their moves until they find a feasible solution, which can be inefficient and time-consuming, especially when there are movable and articulated obstacles. Maybe after cooking, for example, you…
Found in Robotics News & Content, with a score of 0.45
…from: KAIST (Korea Advanced Institute of Science and Technology) MIT-PITT-RW (Massachusetts Institute of Technology, University of Pittsburgh, Rochester Institute of Technology, University of Waterloo) PoliMOVE (Politecnico di Milano, University of Alabama) TII UNIMORE Racing (University of Modena and Reggio Emilia) TUM Autonomous Motorsport (Technische Universität München) IAC racecars are built on identical hardware from sponsors and partners, while the university teams provide the AI. Source: Indy Autonomous Challenge Seconds separate the winner TII UNIMORE Racing, TUM Autonomous Motorsport, and PoliMOVE entered the final round of competition on Sunday afternoon separated by only three seconds. Team PoliMOVE finished its final lap…
Found in Robotics News & Content, with a score of 0.22
…more picks. Mountz enlisted the help of his former MIT roommate Peter Wurman and Raffaello D’Andrea, who served as the faculty advisor and system architect of Cornell University’s robot soccer team. “I was a professor coming up for tenure,” Wurman told Robotics 24/7. “Mick pitched something interesting to me, but if the company failed, we'd have great material for years of research.” The trio went to work building a system. The result was a mobile robot and pod shelf designed to carry multiple items. “Once we decided that we should move orders and not just products, we worked out the…
Found in Robotics News & Content, with a score of 0.48
…a simple block-based visual language for kids developed at MIT Media Lab, which was influential in its design. Task Canvas allows users to show the actions of the robot, as well as all the other devices in an automation cell as blocks in a flowchart. These include grippers, programmable logic controllers (PLCs), and machine tools. The user can easily create powerful logic by tying these blocks together — without writing a single line of code, said READY Robotics. The interface offers nonprogrammers a more “drag-and-drop” experience for programming and deploying robots. Users can work directly on the factory floor with…