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MIT Multi-Robot Mapping Sets New “Gold Standard”

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This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. Those some would be a group of MIT roboticists who just won the IEEE Transactions on Robotics Best Paper Award for 2022, presented at this year’s IEEE International Conference on Robotics and Automation ( ICRA 2023 ) in London.

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MIT Task Force on the Work of the Future suggests widespread autonomous driving at least a decade away

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The MIT Task Force on the Work of the Future has released a new research brief examining the future of autonomous vehicles. The crucial role of public transit for connecting workers to workplaces will endure: the future of work depends in large part on how people get to work. The automated vehicle transition will not be jobless.

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MIT Looks Ahead to Hydrogen’s Aviation Future

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This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. John Hansman , an aeronautics and astronautics professor at MIT and director of the university’s International Center for Air Transportation. Hydrogen may be a good thing, but you gotta look at it from the full system level, right?,”

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MIT: hybrid cathodes could boost energy capacity of lithium-sulfur batteries

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Researchers at MIT and in China are proposing a new class of dense intercalation-conversion hybrid cathodes by combining intercalation-type Mo 6 S 8 with conversion-type sulfur (HMSC) to realize a Li–S full cell. This is comparable to some commercial batteries, indicating that the new device does match its predicted characteristics.

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MIT, Stanford and Toyota Research Institute use AI to predict accurately the useful life of batteries

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Scientists at the Massachusetts Institute of Technology (MIT), Stanford University and the Toyota Research Institute (TRI) have discovered that combining comprehensive experimental data and artificial intelligence provide the key for accurately predicting the useful life of lithium-ion batteries before their capacities started to wane.

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MIT team develops new lane-change algorithm for autonomous cars

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One standard way for autonomous vehicles to avoid collisions is to calculate buffer zones around the other vehicles in the environment. The MIT researchers began with a Gaussian distribution representing the current position of the car, factoring in both its length and the uncertainty of its location estimation. —Alyssa Pierson.

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MIT, Ford researchers find lightweight conventional vehicles could have lower lifecycle GHG impact than EVs depending upon location

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Researchers at MIT and the Ford Motor Company have found that depending on the location, lightweight conventional vehicles could have a lower lifecycle greenhouse gas impact than electric vehicles, at least in the near term. Their paper is published in the ACS journal Environmental Science & Technology.

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