Object Manipulation of the Variable Topology Truss system
Andrew Jang-Ho Bae, Myeongjin Choi, Haorui Li, Mark Yim, TaeWon Seo
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
This paper presents an object manipulation strategy for the Variable Topology Truss (VTT) system, a truss robot that comprises actuated truss members connected by passive spherical joints. Although truss robots were originally proposed as rapidly deployable manipulators, manipulation strategy has not been studied thoroughly. To enable manipulation, we introduce a hybrid control framework that regulates position and force concurrently without explicit decoupling. At the actuator level, each member employs a sensor-based force feedback controller to generate the desired axial forces despite high actuator friction. At the task level, the forces applied at the end-effector nodes are produced by computing the required member forces using a static model of the VTT. We evaluate force-tracking performance through experiments on both a single member module and the full VTT system. Finally, we demonstrate object manipulation using two representative configurations and quantitatively assess combined position and force tracking performance. Experimental results confirm that the proposed approach enables consistent and reliable object manipulation with the VTT system.
关键词
相关论文
面向大型复杂构件的移动机器人辅助磨削技术综述
Yusen Li, Ziwei Wang, Xiangye Zhu 等 12 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于物理信息与机器学习的五轴铣削TC4钛合金刀具磨损融合预测模型
Shaoqing Qin, Lida Zhu, Yanpeng Hao 等 10 位作者
Robotics and Computer-Integrated Manufacturing · 2026
通过新型压电主动阻尼刀柄提升机器人铣削质量
Bo Li, Yuanbo Zhao, Huijie Xiao 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026
一种利用磁致非线性宽带多向被动减振器抑制机器人铣削低频颤振的新方法
Hao Li, Yuhui Yu, Rui Fu 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026