Researchers from the Resilient Intelligent Systems Lab (RISLab) at the Carnegie Mellon University Robotics Institute and the National Robotics and Engineering Center (NREC) have received the Best Paper Award at the IEEE Symposium on Safety, Security, and Rescue Robotics (SSRR) 2024 for their work titled “Rapid quadrotor navigation in diverse environments using an onboard depth camera". SSRR hosts [...]
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 [...]
The framework allows the robot to create photorealistic scene representations in low-light environments. Robots lift heavy loads in warehouses, deliver meals to diners, and even tackle housework. However, a lot of robotic work goes unseen – quite literally. Robots and autonomous vehicles are routinely deployed for critical tasks such as exploration, inspection, transportation, [...]
Greg Armstrong (manager) and Leonardo Mouta (student worker) calibrate robots in the AI Maker Space. At the Carnegie Mellon University AI Maker Space, interdisciplinary collaboration thrives. Here, a biology student might work alongside a computer science major, while across the room, a business student brainstorms with an artist. The only prerequisite? Curiosity. In [...]
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 [...]
