Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers-Reference-Cited by-同舟云学术

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Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers

Published:2024-06 Issue:6 Volume:9 Page:5871-5878
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Trevisan Elia¹^ORCID,Alonso-Mora Javier¹^ORCID

Affiliation:

1. Cognitive Robotics Department, TU Delft, Delft, The Netherlands

Funder

Project Sustainable Transportation and Logistics over Water: Electrification, Automation and Optimization

Netherlands Organization for Scientific Research

Amsterdam Institute for Advanced Metropolitan Solutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10504377/10520879.pdf?arnumber=10520879

Reference37 articles.

1. Path integrals and symmetry breaking for optimal control theory

2. Aggressive driving with model predictive path integral control

3. Model Predictive Path Integral Control: From Theory to Parallel Computation

4. Information theoretic MPC for model-based reinforcement learning

5. Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

Cited by 1 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. Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning;IEEE Robotics and Automation Letters;2024-09

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