Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach-Reference-Cited by-同舟云学术

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Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach

Published:2019-06-22 Issue: Volume: Page:
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Container-title:Robotics: Science and Systems XV
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Author:

Bonalli Riccardo,Cauligi Abhishek,Bylard Andrew,Lew Thomas,Pavone Marco

Publisher

Robotics: Science and Systems Foundation

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Physics-informed Neural Motion Planning on Constraint Manifolds;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Constrained Bimanual Planning with Analytic Inverse Kinematics;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. An Informed-Bi-Quick RRT* Algorithm Based on Offline Sampling: Motion Planning Considering Multiple Constraints for a Dual-Arm Cooperative System;Actuators;2024-02-14

5. Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks;IEEE Transactions on Robotics;2024

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