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Students Use Their Tech Know-How to Protect the Environment

Cars That Think

Waterproof sensors that track flooding As part of the Sunny Day Flooding Project, Katherine Anarde, assistant professor in North Carolina State University’s Environmental, Water Resources, and Coastal Engineering Group [right] and another researcher install low-cost water-level sensors in storm drains. and its environs.

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MAHLE Powertrain and White Motorcycle Concepts developing fully electric 3-wheeled motorcycle for police, emergency first responders

Green Car Congress

Because emergency services require high levels of availability and have an unpredictable demand, retail electric motorcycles are unlikely to present a cost-effective solution. Existing electric motorcycles have been designed with the retail market in mind, and can be both expensive and slow to charge.

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New high-activity, low-cost nickel-based catalyst for fuel cells exhibits performance similar to Pt; hydroxide exchange membrane fuel cells

Green Car Congress

Owing to its high activity and low cost, the catalyst shows significant potential for use in low-cost, high-performance fuel cells, the team suggested. This new hydroxide exchange membrane fuel cell can offer high performance at an unprecedented low cost. —Zhuang et al. —Zhuang et al.

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Video Friday: Loco-Manipulation

Cars That Think

In this work, we present LocoMan, a dexterous quadrupedal robot with a novel morphology to perform versatile manipulation in diverse constrained environments. In this paper, we present an optimization approach to solving the loco-manipulation problem based on non-impulsive implicit contact path planning for our snake robot COBRA.

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DOE awarding $35M to 11 projects for hydrokinetic turbine development; ARPA-E SHARKS

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Projects will work to reduce the LCOE through multiple approaches, including increasing generation efficiency, increasing rotor area per unit of equivalent mass, lowering operation and maintenance costs, minimizing potential impacts on the surrounding environment, and maximizing system reliability. University of Virginia.

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Chip-enabled raised pavement markers support autonomous driving in tough conditions, remote areas

Green Car Congress

For high quality and reliable perception of the driving environment, incoming data from multiple sensors need to be fused together using advanced computational algorithms, which requires a high compute load. This work presents the initial development and evaluation of a novel energy efficient infrastructure-based sensor.

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Virginia Tech team developing intelligent wearable analyzer for pollutants in transportation-related workplaces

Green Car Congress

Current practice typically requires collection of an air sample using specialized equipment, transport of the sample to the lab, and time-consuming analysis using expensive equipment to identify and quantify the pollutants present in the environment.

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