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Integration and demonstration of MEMS-scanned LADAR for robotic navigation

机译:MEMS扫描LADAR用于机器人导航的集成和演示

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LADAR is among the pre-eminent sensor modalities for autonomous vehicle navigation. Size, weight, power and cost constraints impose significant practical limitations on perception systems intended for small ground robots. In recent years, the Army Research Laboratory (ARL) developed a LADAR architecture based on a MEMS mirror scanner that fundamentally improves the trade-offs between these limitations and sensor capability. We describe how the characteristics of a highly developed prototype correspond to and satisfy the requirements of autonomous navigation and the experimental scenarios of the ARL Robotics Collaborative Technology Alliance (RCTA) program. In particular, the long maximum and short minimum range capability of the ARL MEMS LADAR makes it remarkably suitable for a wide variety of scenarios from building mapping to the manipulation of objects at close range, including dexterous manipulation with robotic arms. A prototype system was applied to a small (approximately 50 kg) unmanned robotic vehicle as the primary mobility perception sensor. We present the results of a field test where the perception information supplied by the LADAR system successfully accomplished the experimental objectives of an Integrated Research Assessment (IRA).
机译:LADAR是自动驾驶汽车的杰出传感器形式之一。尺寸,重量,功率和成本的限制对旨在用于小型地面机器人的感知系统施加了重大的实际限制。近年来,陆军研究实验室(ARL)开发了一种基于MEMS镜面扫描仪的LADAR架构,从根本上改善了这些限制和传感器功能之间的权衡。我们将描述高度发达的原型的特征如何与自动导航和ARL机器人协作技术联盟(RCTA)计划的实验场景相对应并满足其要求。尤其是,ARL MEMS LADAR的长距离和短距离最小能力使其非常适用于从建筑制图到近距离物体操纵的各种场景,包括使用机械手进行灵巧操纵。将原型系统应用于小型(约50千克)无人机器人车辆,作为主要的移动感知传感器。我们介绍了现场测试的结果,其中LADAR系统提供的感知信息成功完成了综合研究评估(IRA)的实验目标。

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