多模态四轴飞行器和四足飞行器的设计、拓扑优化和运动学

Elango Natarajan, Cheah Tze Ang, W. H. Lim, G. Kosalishkwaran, CK Ang, S. Parasuraman
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引用次数: 3

摘要

与单模态机器人相比,多模态机器人由于其额外的重量而在运动模式下表现出较差的性能。此外,由于执行器数量的增加,多模态机器人的运动学更加复杂,因此更容易出现错误和故障。本研究的目的是利用拓扑优化来减轻多模态机器人中部件的重量,优化其承受应力和载荷的能力。利用8位微控制器实现了机器人运动模式的算法。这个机器人的原型已经在不同类型的模拟地形上进行了测试。针对零件形状复杂、不规则的特点,对零件拓扑结构进行优化,并采用3D打印技术进行制造。利用拓扑优化将组件的重量降低了54.40%,同时保留了组件承受应力和负载的能力,证明了该技术在机器人开发中的潜力。由于8位微控制器的限制,行走算法用三角函数代替逆运动学来实现。采用互补滤波和指数滤波来提高飞行运动的性能,从而实现空中模式下的自动调平。在模拟地形上进行测试后,该机器人能够利用飞行和行走在速度和能源效率方面的优势,使机器人在许多情况下更加通用。
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Design Topology Optimization and Kinematics of a Multi-Modal Quadcopter and Quadruped
Multi-modal robots exhibit poor performance in locomotion modes due to its additional weight when compared to a single modal robot. Furthermore, the kinematics of a multimodal robot is more complex due to the increased number of actuators hence more prone to errors and malfunctions. The aim of this study was to use topology optimization to reduce the weight of components in a multi-modal robot, optimizing its ability to withstand stresses and loads. An algorithm for the robot's locomotion mode had been implemented using 8-bit microcontrollers. The prototype of this robot had been tested on different types of mock-up terrains. The topology of components of prototype was optimized and 3D printing was used to fabricate them due to their complex and irregular shapes. Utilization of topology optimization reduced the weight of component up to 54.40% while retaining the capability of the component to withstand the stresses and loads, proving the potential of this technique in robot development. The walking algorithm was implemented with trigonometry instead of inverse kinematics due to the limit of 8-bit microcontrollers. Complementary and exponential filters were implemented to improve the performance of flying locomotion, thus featuring auto-levelling in aerial mode. The robot was able to harness the advantage in both flying and walking over speed and energy efficiency after testing in mock-up terrains, making the robot more versatile in many situations.
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