在一种新型可扩展 UGV-UAV 变形机器人上演示自主 3D 路径规划
Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot
AI总结：
本文提出一种具备地面与空中运动能力的变形多模态机器人，并应用现成的 SLAM 和路径规划解决方案，实现了在复杂室内环境中的自主 3D 导航。
摘要：
一些动物展现出多模态运动能力，以穿越广泛的地形和环境，例如能游泳和行走的两栖动物，或能飞行和行走的鸟类。这种能力对于扩大动物的栖息地范围极为有益，它们能在给定环境中选择最节能的运动模式。这种多模态运动能力的机器人仿生极具挑战性，但具有同样的优势。然而，运动范围的扩大也增加了执行定位和路径规划的复杂性。在这项工作中，我们展示了我们的变形多模态机器人，它具备地面和空中运动能力，并实现了现成的 SLAM 和路径规划解决方案，以在复杂的室内环境中进行导航。
英文摘要：
Some animals exhibit multi-modal locomotion capability to traverse a wide range of terrains and environments, such as amphibians that can swim and walk or birds that can fly and walk. This capability is extremely beneficial for expanding the animal's habitat range and they can choose the most energy efficient mode of locomotion in a given environment. The robotic biomimicry of this multi-modal locomotion capability can be very challenging but offer the same advantages. However, the expanded range of locomotion also increases the complexity of performing localization and path planning. In this work, we present our morphing multi-modal robot, which is capable of ground and aerial locomotion, and the implementation of readily available SLAM and path planning solutions to navigate a complex indoor environment.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
