A new study by researchers from MIT and elsewhere has found that “most drivers are likely to multitask and get distracted if their vehicles are equipped with partial automation software,” reports William Gavin for Quartz. The researchers “studied how drivers with cars that have the technology behaved after it was enabled,” explains Gavin.
Edwin Olson '00, MEng '01, PhD '08 founded May Mobility, an autonomous vehicle company that uses human autonomous vehicle operators on its rides, reports Gus Alexiou for Forbes. “May Mobility is focused above all else on gradually building up the confidence of its riders and community stakeholders in the technology over the long-term,” explains Alexiou. “This may be especially true for certain more vulnerable sections of society such as the disability community where the need for more personalized and affordable forms of transportation is arguably greatest but so too is the requirement for robust safety and accessibility protocols.”
Axios reporter Alex Fitzpatrick spotlights MightyFly, an aviation startup founded by Manal Habib ’11 that is developing a large, autonomous electric vehicle takeoff and landing cargo drone that has been approved by the Federal Aviation Administration for a flight corridor. "The use case is B2B expedited logistics," says Habib. "Think of deliveries from a manufacturer to suppliers. Think of deliveries from a lab to a hospital, or from a warehouse or pharmacy, as well as to improve deliveries to an oil rig or to a farm or a mining site, as well as for DOD use cases."
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.