The Dream Labs of Future Robotics

by Tanya M. Anandan, Contributing Editor Robotic Industries Association Posted 10/30/2018 Tomorrow’s robotics are taking shape in today’s labs. From package delivery robots and self-driving cars, to surgical snakes and search and rescue robots, the innovations have profound implications. A year, 3 years, or maybe 5 to 10 years down the road, they could be [...]

Researchers Reinvent the Wheel for Vehicles of the Future

Shape-Shifting Tires, Digital Driving Assistants Could Enable Safe Driving Over All Kinds of Terrain Byron Spice  Monday, October 29, 2018 NREC has developed a vehicle with wheels that transform into tracks on the fly and a digital assistant that helps drivers find the safest, surest route across steep terrain as part of DARPA's Ground X-Vehicle [...]

Carnegie Mellon Team Dives Into DARPA Subterranean Challenge

Modularity will be key to robotic exploration of caves, tunnels, underground structures Team leaders Matt Travers and Sebastian Scherer guide CMU's Subterranean Challenge team as they begin work on August 27, 2018. CMU is one of the teams being funded by DARPA in the challenge, a $2 million contest where autonomous robots are used [...]

CMU Cameras Provide 24-hour Monitoring Of Industrial Sites

              New Mon Valley Breathe Cams Document Sources of Visual Pollution   PITTSBURGH—Carnegie Mellon University’s CREATE Lab is using a new network of cameras to provide 24-hour monitoring of visible air pollution from industrial sources in the Monongahela Valley. The network is being activated today in conjunction with the [...]

Software Automatically Generates Knitting Instructions for 3-D Shapes

CMU Researchers Foresee Machines Capable of On-Demand Knitting   PITTSBURGH—Carnegie Mellon University computer scientists have developed a system that can translate a wide variety of 3-D shapes into stitch-by-stitch instructions that enable a computer-controlled knitting machine to automatically produce those shapes.   Researchers in the Carnegie Mellon Textiles Lab have used the system to produce [...]

Carnegie Mellon Will Help Develop Camera To See Through Skin

NSF Awards $10 Million to Interdisciplinary Researchers at Five Universities By Byron Spice Monday, February 26, 2018 Computational illumination and imaging approaches developed at CMU produce images of different body parts that show features up to two millimeters deep. Researchers expect new techniques will enable images of structures at least 10 times deeper. [...]

What Drives Red Whittaker?

by Christine O’Toole, Pittsburgh Quarterly Higher Education 2018 Winter   In January, Carnegie Mellon University professor Red Whittaker set a goal that had nothing to do with robotics: to best a field of competitors in an indoor rowing race. The ergometer competition, a 2,000-meter battle on stationary machines, marked the first time the 69-​year-​old Whittaker [...]

Argo AI collaborates with CMU, Georgia Tech researchers on self-driving cars

  Aaron Aupperlee  Tuesday, Nov. 21, 2017, 11:06 a.m.   Argo AI, a Pittsburgh-based startup developing self-driving technology for Ford, will team up with researchers from Carnegie Mellon University and Georgia Tech to work on computer vision and machine learning technology. Deva Ramanan and Simon Lucey from CMU and James Hays from Georgia Tech will join the [...]

CMU Robotics center to focus on practical application

WASHINGTON — Seventeen years after LTV Steel closed its Hazelwood operation, its site is being prepared for new life as a catalyst for the region’s — and the nation’s — next big industrial revolution. A new nonprofit offshoot of Carnegie Mellon University is in negotiations with foundations that own the former industrial site known as [...]

Carnegie Mellon Makes Facial Image Analysis Software Available to Researchers

Carnegie Mellon University’s Human Sensing Laboratory will celebrate the new year by making available to fellow researchers its advanced software for tracking facial features and recognizing emotions, filling a gap that has slowed development for real-time facial image analysis applications. Automated facial analysis is at the heart of a host of potential applications, from monitoring [...]