PedPal : CMU and pathVu partner to make urban mobility more safe @cmurobotics

Uploaded June 2023 | Updated September 2026, 2 weeks ago

This work is funded by the Mobility21 National UTC a US Department of Transportation University Transportation Center

https://mobility21.cmu.edu

The Intelligent Coordination and Logistics Lab at Carnegie Mellon University's Robotics Institute has been developing and field testing a smartphone app called PedPal in conjunction with pathVu, a University of Pittsburgh-based start-up.

PedPal has been developed to assist pedestrians with disabilities and/or mobility challenges to safely cross signalized intersections. The PedPal app allows its user to communicate directly with the intersection to indicate how much time is needed for crossing.

Learn more at the CMU Robotics project page:
https://www.ri.cmu.edu/project/pedpal/

Or the Intelligent Coordination and Logistics Laboratory site:
http://www.ozone.ri.cmu.edu

PedPal : CMU and pathVu partner to make urban mobility more safe

$RI Seminar: Matthew Johnson-Roberson : Lessons from the Field https://www.ri.cmu.edu/event/ri-seminar-matthew-johnson-roberson-cmu-2022-02-04/ Matthew Johnson-Roberson Professor / Director of RI Robotics Institute, Carnegie Mellon University February 4, 2022 Lessons from the Field: Deep Learning and Machine Perception for field robots Abstract: Mobile robots now deliver vast amounts of sensor data from large unstructured environments. In attempting to process and interpret this data there are many unique challenges in bridging the gap between prerecorded data sets and the field. This talk will present recent work addressing the application of machine learning techniques to mobile robotic perception. We will discuss solutions to the assessment of risk in self-driving vehicles, thermal cameras for object detection and mapping and finally object detection and grasping and manipulation in underwater contexts. Real field data will guide this process and we will show results on deployed field robotic vehicles. Brief Bio: Matthew Johnson-Roberson is director of Carnegie Mellon Robotics Institute and a Professor in the School of Computer Science. He received a PhD from the University of Sydney in 2010. He has held prior postdoctoral appointments with the Centre for Autonomous Systems – CAS at KTH Royal Institute of Technology in Stockholm and the Australian Centre for Field Robotics at the University of Sydney. He co-founded Refraction AI a last-mile autonomous vehicle delivery company. He has worked in robotic perception since the first DARPA grand challenge and his group focuses on enabling robots to better see and understand their environment.$

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