论文标题
rotortm:用于航空运输和操纵的灵活模拟器
RotorTM: A Flexible Simulator for Aerial Transportation and Manipulation
论文作者
论文摘要
低成本的自动驾驶微型飞机(MAV)有可能通过简化和加快需要与环境相互作用的复杂任务来帮助人类,例如建筑,包装交付以及搜索和救援。这些由单个或多辆车组成的系统可以赋予被动连接机制,例如刚性链接或电缆以执行运输和操纵任务。但是,它们本质上是复杂的,因为它们通常在非线性歧管配置空间中不足并进化。此外,根据电缆的不同张力条件,混合动力学进一步增加了具有电缆悬浮负载的系统的复杂性。本文介绍了第一个航空运输和操纵模拟器,其中包含不同的有效载荷和被动连接机制,并具有完整的系统动态,计划和控制算法。此外,它还包括一个新型的通用模型,该模型对带有电缆悬浮负载的空中系统的瞬态混合动力学进行了核算,以紧密模仿现实世界。灵活和直观的界面的可用性进一步有助于其可用性和多功能性。模拟与实际实验与不同车辆配置之间的比较表明,模拟器结果相对于现实世界的设置的忠诚度。该实验还显示了模拟器对航空运输和操纵系统快速原型和过渡到现实世界部署的好处。
Low-cost autonomous Micro Aerial Vehicles (MAVs) have the potential to help humans by simplifying and speeding up complex tasks that require their interaction with the environment, such as construction, package delivery, and search and rescue. These systems, composed of single or multiple vehicles, can be endowed with passive connection mechanisms such as rigid links or cables to perform transportation and manipulation tasks. However, they are inherently complex since they are often underactuated and evolve in nonlinear manifold configuration spaces. In addition, the complexity of systems with cable-suspended load is further increased by the hybrid dynamics depending on the cables' varying tension conditions. This paper presents the first aerial transportation and manipulation simulator incorporating different payloads and passive connection mechanisms with full system dynamics, planning, and control algorithms. Furthermore, it includes a novel general model accounting for the transient hybrid dynamics for aerial systems with cable-suspended load to closely mimic real-world systems. The availability of a flexible and intuitive interface further contributes to its usability and versatility. Comparisons between simulations and real-world experiments with different vehicles' configurations show the fidelity of the simulator results with respect to real-world settings. The experiments also show the simulator's benefit for the rapid prototyping and transitioning of aerial transportation and manipulation systems to real-world deployment.