A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation
A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation
复制标题
操纵中接触轨迹优化的全局准动态模型
DOI:
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复制
发表时间:
2020
期刊:
影响因子:
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通讯作者:
Alberto Rodriguez
中科院分区:
文献类型:
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作者:
Bernardo Aceituno;Alberto Rodriguez
—Given a desired object trajectory, how should a robot make contact to achieve it? This paper proposes a global optimization model for this problem with alternated-sticking contact, referred to as Contact-Trajectory Optimization. We achieve this by reasoning on simplified geometric environments with a quasi-dynamic relaxation of the physics. These relaxations are the result of approximating bilinear torque effects and deprecating high-order forces and impacts. Moreover, we apply convex approximations that retain the fundamental properties of rigid multi-contact interaction. As result, we derive a mixed-integer convex model that provides global optimality, infeasibility detection and convergence guarantees. This approach does not require seeding and accounts for the shapes of the object and environment. We validate this approach with extensive simulated and real-robot experiments, demonstrating its ability to quickly and reliably optimize multi-contact manipulation behaviors.
DOI:
10.1109/icra40945.2020.9197568
发表时间:
2019-09
期刊:
2020 IEEE International Conference on Robotics and Automation (ICRA)
影响因子:
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作者:
Alp Aydinoglu;V. Preciado;Michael Posa
通讯作者:
Alp Aydinoglu;V. Preciado;Michael Posa
DOI:
10.1109/icra.2018.8462834
发表时间:
2018
期刊:
IEEE International Conference on Robotics and Automation (ICRA
影响因子:
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作者:
Hou, Yifan;Jia, Zhenzhong;Mason, Matthew T.
通讯作者:
Mason, Matthew T.