Discrete Optimization of Adaptive State Lattices for Iterative Motion Planning on Unmanned Ground Vehicles-Reference-Cited by-同舟云学术

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Discrete Optimization of Adaptive State Lattices for Iterative Motion Planning on Unmanned Ground Vehicles

Published:2021-09-27 Issue: Volume: Page:
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Container-title:2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Hedegaard Benned,Fahnestock Ethan,Arkin Jacob,Menon Ashwin,Howard Thomas M.

Funder

Arm

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9635848/9635849/09636181.pdf?arnumber=9636181

Cited by 4 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. Coordinated maneuver in ground robotics for multiagent systems;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI;2024-06-07

2. An Efficient Global Trajectory Planner for Highly Dynamical Nonholonomic Autonomous Vehicles on 3-D Terrains;IEEE Transactions on Robotics;2024

3. Terrain-Aware Kinodynamic Planning with Efficiently Adaptive State Lattices for Mobile Robot Navigation in Off-Road Environments;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Implementing Metareasoning;Metareasoning for Robots;2023

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