使用弹簧质量建模改进小型机器人在斜坡上的跳跃控制
Improved hopping control on slopes for small robots using spring mass modeling
AI总结：
本文提出了一种基于弹簧质量建模的改进方法，通过调整着陆角度和施加校正力矩，提升小型机器人在斜坡上的跳跃稳定性与平衡性。
摘要：
跳跃机器人在斜坡上容易失去平衡，因为倾斜地面在着陆时会产生不必要的旋转。本文利用简单的弹簧质量模型分析这一效应，并识别出斜坡引起的冲击如何使机器人不稳定。为了解决这个问题，我们引入了两个简单的修复方法，即根据坡度调整身体着陆角度，并在起飞前施加一个小的校正力矩。这些步骤共同有效地抵消了由倾斜地形引起的不希望的旋转，使机器人能够平稳着陆并在陡峭的斜坡上保持稳定的跳跃。此外，所提出的方法足够简单，可以实现在低成本机器人平台上，而无需复杂的传感或计算。通过结合这一分析模型与最小的控制动作，这种方法提供了一条通往可靠跳跃的实用路径。模拟结果证实，即使小的坡度意识调整也能显著提高着陆稳定性，使该技术适用于未来必须在自然环境中导航的自主机器人，如山丘、碎石和不规则户外景观。
英文摘要：
Hopping robots often lose balance on slopes because the tilted ground creates unwanted rotation at landing. This work analyzes that effect using a simple spring mass model and identifies how slope induced impulses destabilize the robot. To address this, we introduce two straightforward fixes, adjusting the bodys touchdown angle based on the slope and applying a small corrective torque before takeoff. Together, these steps effectively cancel the unwanted rotation caused by inclined terrain, allowing the robot to land smoothly and maintain stable hopping even on steep slopes. Moreover, the proposed method remains simple enough to implement on low cost robotic platforms without requiring complex sensing or computation. By combining this analytical model with minimal control actions, this approach provides a practical path toward reliable hopping on uneven terrain. The results from simulation confirm that even small slope aware adjustments can dramatically improve landing stability, making the technique suitable for future autonomous field robots that must navigate natural environments such as hills, rubble, and irregular outdoor landscapes.
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。
