David Zipper, Senior Fellow at the MIT Mobility Initiative, speaks with Washington Post reporter Trisha Thadani about the safety behind self-driving car companies, such as Google’s robotaxi service, Waymo. Zipper says there is a disparity that “the companies are saying the technology is supposed to be a godsend for urban life, and it’s pretty striking that the leaders of these urban areas don’t really want them.”
Research scientist Bryan Reimer speaks with The Ojo-Yoshida Report host Junko Yoshida about the future of the autonomous vehicle industry. “We cannot let the finances drive here,” explains Reimer. “We need to manage the finances to let society win over the long haul.”
Forbes reporter Rob Toews spotlights Prof. Daniela Rus, director of CSAIL, and research affiliate Ramin Hasani and their work with liquid neural networks. “The ‘liquid’ in the name refers to the fact that the model’s weights are probabilistic rather than constant, allowing them to vary fluidly depending on the inputs the model is exposed to,” writes Toews.
Venti Technologies, which was co-founded by MIT researchers and alumni, is working to build autonomous vehicles for industrial and global supply chain hubs, reports Bruce Rogers for Forbes. “Working with the world's leading port operator provides Venti the opportunity to bring the economics of autonomous vehicles to over 60 ports globally,” writes Rogers. “These ports operate 24/7 requiring 2-3 shifts of human drivers.”
Researchers at MIT have developed a new artificial intelligence system aimed at helping autopilot avoid obstacles while maintaining a desirable flight path, reports Kyle Wiggers for TechCrunch. “Any old algorithm can propose wild changes to direction in order to not crash, but doing so while maintaining stability and not pulping anything inside is harder,” writes Wiggers.
Popular Science reporter Jamie Dickman writes that using liquid neural networks, MIT researchers have “trained a drone to identify and navigate toward objects in varying environments.” Dickman notes that: “These robust networks enable the drone to adapt in real-time, even after initial training, allowing it to identify a target object despite changes in their environment.”
Researchers at MIT have developed a new type of autonomous drone that uses advanced neural networks to fly, reports Tony Ho Tran for The Daily Beast. “The new design allows the drone to make better decisions when flying through completely new environments,” writes Tran, “and could have future applications in self-driving cars, search and rescue operations, wildlife monitoring, or even diagnosing medical issues.”
MIT researchers have developed Robust MADER, an updated version of a previous system developed in 2020 to help drones avoid in-air collisions, reports Brian Heater for TechCrunch. “The new version adds in a delay before setting out on a new trajectory,” explains Heater. “That added time will allow it to receive and process information from fellow drones and adjust as needed.”
Venti Technologies, a startup co-founded by MIT professors and alumni that builds autonomous vehicles for industrial and logistics centers, has raised $29 million in Series A funding. The company’s “target customer comes from the wide range of supply chain businesses that operate across warehouses, ports and other shipping and logistics environments where vehicles — currently driven by humans — are central to operations,” writes Ingrid Lunden for TechCrunch.
MIT engineers have developed a new technique that enables bug-sized aerial robots to handle a sizeable amount of damage and still fly, reports Andrew Paul for Popular Science. “The new repair techniques could come in handy when using flying robots for search-and-rescue missions in difficult environments like dense forests or collapsed buildings,” writes Paul.
Postdoc Saverio Cambioni speaks with Andrew Corselli of Tech Briefs about NASA’s DART mission, which was aimed at testing a method to protect Earth in case of an asteroid impact threat. “DART showed that it is technologically possible to intercept and impact a sub-kilometer asteroid, with limited prior knowledge of its shape and surface properties,” Cambioni explains.
Researchers at MIT have predicted that without improvements in hardware efficiency, energy consumption and emissions from autonomous vehicles could be “comparable to that of data centers today,” reports Sarah Wells for Popular Mechanics. “In order to reduce the future carbon footprint of AVs, scientists will need to make the computing systems of AVs, including smart sensors, far more efficient,” writes Wells.
MIT researchers have constructed a mini city to test to safely test algorithms designed for autonomous vehicles, reports Mashable. “The idea of the mini city is that we have lots of cars going at the same time and we can actually test out new algorithms in a safe environment,” says graduate student Noam Buckman.
Researchers at MIT have developed an autonomous vehicle with “mini sensors to allow it to see the world and also with an artificially intelligent computer brain that can allow it to drive,” explains postdoctoral associate Alexander Amini in an interview with Mashable. “Our autonomous vehicles are able to learn directly from humans how to drive a car so they can be deployed and interact in brand new environments that they’ve never seen before,” Amini notes.
An MIT study has found that the wide spread adoption of self-driving cars could lead to increased carbon emissions, reports Rima Sabina Aouf for Dezeen. “The study found that with a mass global take up of autonomous vehicles, the powerful onboard computers needed to run them could generate as many greenhouse gas emissions as all the data centers in operation today,” writes Aouf.