Researchers from the Human Computer Interaction Institute (HCII) and Robotics Institute (RI) at Carnegie Mellon University introduced a novel method for fabricating functional flat-to-shape objects using a computer-controlled sewing machine.  The team includes Sapna Tayal, undergraduate student in the School of Design; Lea Albaugh, Mark Stehlik postdoctoral teaching fellow at HCII; James McCann, associate professor [...]

Robots with human-level dexterity have the potential to revolutionize object manipulation and reconstruction tasks, but achieving this level of dexterity comes with challenges, particularly when it comes to robots handling a wide variety of low-texture objects with high precision.  To address this challenge and push the boundaries of current robotic tactile sensing, RI Ph.D student [...]

Researchers at the Carnegie Mellon University Robotics Institute and the Massachusetts Institute of Technology (MIT), created CHARCHA ( Computer Human Assessment for Recreating Characters with Human Actions), a secure and personalized verification protocol that allows an individual’s likeness to appear in generative video content. The team was inspired to create CHARCHA to respond to ethical issues [...]

An SCS researcher is using robotics to speed up e-waste recycling for flat-screen displays. A researcher from Carnegie Mellon University's School of Computer Science is using robotics to improve e-waste recycling. E-waste is one of the fastest-growing types of waste in the world, with an estimated 62 million tons produced in 2022 alone. [...]

Robots deployed in the home carry immense potential to improve people’s quality of life. Robots for cleaning, companionship, security, healthcare needs, and more can travel through home environments and assist with a multitude of tasks, making human-robot interaction an area of particular interest to many roboticists. However, despite the convenience of in-home robots, there lies [...]

Sheng-Yu Wang, fifth-year Ph.D. at the Carnegie Mellon University Robotics Institute. Sheng-Yu Wang, fifth-year Ph.D. student at the Carnegie Mellon University Robotics Institute, has received a Google Fellowship for his work in data attribution for text-to-image models. Wang is advised by Jun-Yan Zhu, assistant professor at the Robotics Institute.  The Google Ph.D. Fellowship [...]

A research team at Carnegie Mellon teamed up with Meta FAIR, the University of California, Berkeley, Technical University Dresden in Germany and the Centre for Tactile Internet with Human-in-the-Loop (CeTI) to propose NeuralFeels, a machine learning model that combines vision and touch sensing on a robot hand to reconstruct and track unseen objects.  Traditional sensing [...]

What if the future of energy could be as limitless as the stars? As nuclear fission powers today's reactors, researchers are looking toward nuclear fusion as a cleaner, safer, and long-lasting source of energy.  Nuclear power plants are largely considered as one of the most reliable sources of energy. Inside the plants, reactors use fission [...]

Many people learn how to ride a bike at some point in their lives. When children are learning, adults can only guide them to a certain point. A large portion of developing this new skill depends on independent trial and error from the child.  After days of practice, and perhaps a fall or two, children [...]