The IEEE Fellow distinction is reserved for select members who have a remarkable record of accomplishments in any of the IEEE fields of interest. More about this notable distinction in INDIAWEST.
Thursday, December 14, 2017
Monday, December 11, 2017
Monday, December 4, 2017
Can driverless cars be safe? Penn State Professor and TerraSwarm PI Rahul Mangharam and team are working on it
Rahul Mangharam, associate professor of Electrical and Systems Engineering at the University of Pennsylvania, is leading a team of six researchers in pursuit of what they describe as a "driver's license test" for self-driving cars. The test involves a rigorous use of mathematical diagnostics and simulated reality to determine the safety of autonomous vehicles before they ever hit the road.
All in service of rating robot drivers, white boards covered in complex equations, shelves full of makeshift toy cars and computer screens displaying video games comprise the environment of the Penn lab. Penn scientists run the autonomous driving software, called Computer Aided Design for Safe Autonomous Vehicles, through both mathematical diagnostics and the virtual reality test drives on Grand Theft Auto to see when the system fails.
“You can never have 100 percent safety,” Mangharam said. “You can design a system that would not be at fault intentionally.” As much as he believes in autonomous technology, Mangharam is concerned about our society's tendency to neglect regulatory oversight as we embrace a new toy.See article at The Inquirer
Thursday, November 16, 2017
“Connecting sensors is often the most expensive and challenging part of a deployment especially when they are located in remote areas where data needs to travel long distances. By implementing battery-operated, low-powered LoRaWAN-based devices and the LoRaWAN protocol, OpenChirp demonstrates that it is feasible to scale low-powered sensing devices for use across large areas, like campuses, manufacturing plants or even cities,” said Anthony Rowe, an associate professor of electrical and computer engineering, who leads the OpenChirp project at CMU. “At Carnegie Mellon, students are using OpenChirp to develop IoT applications including smart grid demand / response, air quality sensing, and a campus asset-tracking system.”Carnegie Mellon’s work is a prime example of the LoRaWAN-based projects that students can develop with LoRa Technology and the LoRaWAN open protocol. See Market Insider.
Monday, November 13, 2017
The new project draws on the groundwork laid by BRETT, a robot that represented a deep reinforcement learning breakthrough for UC Berkeley in 2015. The acronym, believe it or not, stands for Berkeley Robot for the Elimination of Tedious Tasks.
“Right now, if you want to set up a robot, you program that robot to do what you want it to do, which takes a lot of time and a lot of expertise,” said Abeel. “With our advances in machine learning, we can write a piece of software once — machine learning code that enables the robot to learn — and then when the robot needs to be equipped with a new skill, we simply provide new data.”
The new start-up plans to make robots more skillful and quicker to learn, which could have an enormous impact on manufacturing.
“The goal is to bring the cutting-edge research to robotics and manufacturing,” Abbeel says. He says the techniques his company is developing will enable robots to do a range of things that are currently too time-consuming to be programmed in.See articles in IEEE Spectrum, Electronics 360 and MIT Technology Review for more information.
Tuesday, October 24, 2017
As one of the 5 Caltech researchers to receive grants from the National Institutes of Health's Brains Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, Professor Richard Murray, along with Professor Michael Dickinson, will concentrate their research on the NIH project ""A brain circuit program for understanding the sensorimotor basis of behavior".
Professor Murray, a co-principal investigator, has collaborated extensively with Dickinson on modeling and analyzing the biological systems of insect flight control.
“The collective expertise of these research teams spans the entire nervous system, from the sensory periphery to the motor periphery, and it includes experts in every experimental technique we require—molecular genetics, electrophysiology, optical imaging, biomechanics, quantitative behavioral analysis, control theory, and dynamic network theory,” says Murray. “We will exploit mathematical approaches—control theory and dynamic network theory in particular—that are well suited to model feedback and the flow of information through and among different processing stages in the brain.”
Wednesday, October 18, 2017
Director of DCIST at University of Pennsylvania and TerraSwarm PI Vijay Kumar receives $27M grant from Army to develop robot teams
“We want to have teams of robots that know how to work together, but can figure out how to keep working even if some of their teammates crash or fail, if GPS signal is unavailable, or if cloud services are disrupted,” said Vijay Kumar, director of the DCIST program. “This means designing networks with loose, flexible connections that can change on the fly. That way, a single event can’t bring down the entire network. More importantly, we want them to learn to perform tasks they may have never performed and work alongside humans that they may never have worked with.”The award is part of ARL's Distributed and Collaborative Intelligent Systems and Technology (DCIST) Collaborative Research Alliance, which Penn Engineering will lead.
“The technology we’re working will better allow humans to respond by projecting their intelligence without directly coming in harm’s way,” Kumar said.