Showing 3 open source projects for "electric"

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    OpenBot

    OpenBot

    OpenBot leverages smartphones as brains for low-cost robots

    OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation. Current robots are either expensive or make significant compromises on sensory richness, computational power, and communication capabilities.
    Downloads: 22 This Week
    Last Update:
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    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge Agent

    ...AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles. Improve electric vehicle (EV) battery range estimates with crowdsourced environmental data, such as weather and driving conditions, from nearby vehicles. Collect select data from nearby vehicles and use it to notify drivers of changing road conditions, such as lane closures or construction. Use near real-time data to proactively detect and mitigate fleet-wide quality issues.
    Downloads: 0 This Week
    Last Update:
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  • 3

    Control Line Smart Timer

    Smart active flight timer and throttle governor for F2B CL models

    ...Unlike static timers, ClSt uses an IMU sensor (MPU-6050 / GY-521) to analyze the model's physics in real-time, functioning as a "virtual co-pilot". It continuously recalculates and adjusts the electric motor throttle (0.0 to 1.0 / PWM) to maintain a perfectly constant airspeed along the entire flight trajectory, regardless of wind conditions and maneuvers. The project repository includes: 1. ClSt Core firmware for Arduino Nano V3.0 (ATmega328P / FT232). 2. Mathematical simulation code integrated and tested within the PicaSim flight simulator (Bullet Physics). 3. ...
    Downloads: 0 This Week
    Last Update:
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