研究月球松散颗粒上足式机器人夹持器的下陷行为,提升其在复杂地形的移动能力。
Sinkage Study in Granular Material for Space Exploration Legged Robot Gripper
- 设计软体夹持器,通过肌腱驱动微刺抓握颗粒表面。
- 实验测得夹持器在斜坡上受力下陷量,模拟结果与实测一致。
- 可预测夹持器在月壤中的下陷,用于优化足式机器人运动控制。
轮式探测车因速度快、效率高成为月球探索的首选,但深部区域如月洞和陨石坑需依赖足式机器人实现机动性。为此,必须设计合适的末端执行器,以支持在月球松散颗粒表面的攀爬与行走。本文研究足式机器人在松软土壤中行走时,欠驱动软体夹持器在可变形颗粒材料上的下陷行为。构建了模块化测试平台与仿真模型,通过比较夹持器轴向位移与机器人载荷,测量其在二氧化硅砂中的下陷情况。在多种坡度角下进行了多组实验。利用Altair MotionSolve与Altair EDEM软件,结合离散元法建立考虑手指柔性自由度的仿真模型,并完成模型验证。随后在月球重力条件及月壤颗粒模型下进行补充仿真。结果表明,使用Altair仿真工具可准确构建具备合理运动自由度的夹持器模型,并估算其在颗粒环境下的预期下陷量。该结果可直接集成至机器人运动控制算法中,提升在颗粒介质环境中的移动精度。
原文摘要 · Abstract (English)
Wheeled rovers have been the primary choice for lunar exploration due to their speed and efficiency. However, deeper areas, such as lunar caves and craters, require the mobility of legged robots. To do so, appropriate end effectors must be designed to enable climbing and walking on the granular surface of the Moon. This paper investigates the behavior of an underactuated soft gripper on deformable granular material when a legged robot is walking in soft soil. A modular test bench and a simulation model were developed to observe the gripper sinkage behavior under load. The gripper uses tendon-driven fingers to match its target shape and grasp on the target surface using multiple micro-spines. The sinkage of the gripper in silica sand was measured by comparing the axial displacement of the gripper with the nominal load of the robot mass. Multiple experiments were performed to observe the sinkage of the gripper over a range of slope angles. A simulation model accounting for the degrees of compliance of the gripper fingers was created using Altair MotionSolve software and coupled to Altair EDEM to compute the gripper interaction with particles utilizing the discrete element method. After validation of the model, complementary simulations using Lunar gravity and a regolith particle model were performed. The results show that a satisfactory gripper model with accurate freedom of motion can be created in simulation using the Altair simulation packages and expected sinkage under load in a particle-filled environment can be estimated using this model. By computing the sinkage of the end effector of legged robots, the results can be directly integrated into the motion control algorithm and improve the accuracy of mobility in a granular material environment.
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