Terrain-Aware Kinodynamic Planning with Efficiently Adaptive State Lattices for Mobile Robot Navigation in Off-Road Environments-Reference-Cited by-同舟云学术

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Terrain-Aware Kinodynamic Planning with Efficiently Adaptive State Lattices for Mobile Robot Navigation in Off-Road Environments

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Damm Eric R.¹,Gregory Jason M.²,Lancaster Eli S.²,Sanchez Felix A.²,Sahu Daniel M.²,Howard Thomas M.¹

Affiliation:

1. Hajim School of Engineering and Applied Sciences, University of Rochester,Robotics and Artificial Intelligence Laboratory,Rochester,NY,USA

2. DEVCOM Army Research Laboratory,Adelphi,MD,USA

Funder

Army Research Laboratory (ARL)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341537.pdf?arnumber=10341537

Reference12 articles.

1. Motion planning in urban environments

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

3. Receding Horizon Model-Predictive Control for Mobile Robot Navigation of Intricate Paths

4. Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots

5. RRT-connect: An efficient approach to single-query path planning

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