Members Only

ClearFlame Engine Technologies Spotlight: Stanford grads clean-up diesel engines

ClearFlame, a recipient of The TomKat Center's Innovation Transfer Program which assists Stanford faculty, staff and students in commercializing breakthrough technologies and innovations in sustainability, is developing a high-temperature combustion system for trucks that run on renewable fuels. With the Stanford grads technology, about 10 percent of the engine components change and the engine prototypes have shown a 25 percent higher torque, meaning better engine performance. Link

Could drones deliver packages more efficiently by hopping on the bus?

A Stanford team developed a framework for routing a large fleet of delivery drones to hitch rides on public transit vehicles to save energy and increase flight range. Delivery trucks represent 7 percent of U.S. traffic but account for 28 percent of the nation's congestion. The algorithms developed by the team combines the last mile flexibility of drones with the long-haul capacity of ground-based vehicles. Link

New battery electrolyte developed at Stanford may boost the performance of electric vehicles

A new electrolyte design by Stanford researchers boosts performance of lithium metal batteries which is promising for electric vehicles where weight and volume are important factors. The novel synthetic compound, abbreviated FDMB, uses fluorine atoms that can be readily produced in bulk. The research team reported dramatic results with the electrolyte tested in a lithium metal battery. Link

Robotics Today - A series of technical talks

Marco Pavone and Jeannette Bohg, Stanford, along with Luca Carlone and Alberto Rodriguez, MIT, host this virtual robotic seminar series Friday at 10:00 a.m. PDT (1:00 p.m. EDT). The June 12 seminar is with Anca Dragan, assistant professor, electrical engineering and computer sciences at UC Berkeley. See the website here for upcoming talks, past recordings, along with the live streaming link.

Safe and Robust Navigation for Aerial and Ground Autonomous Vehicles recording available

At our May webinar, Grace Gao, assistant professor, aeronautics and astronautics and director of the Stanford Navigation and Autonomous Vehicles Lab discussed her work on reliable and safe positioning and navigation for autonomous systems. Gao provided examples of model-driven, data-driven and proof-based approaches for intelligently fusing GPS, LiDAR, vision and inertial measurements.

Pages