Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets-Reference-Cited by-同舟云学术

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Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets

Published:2018-09 Issue:3 Volume:3 Page:300-309
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Driggs-Campbell Katherine^ORCID,Dong Roy^ORCID,Bajcsy Ruzena

Funder

Office of Naval Research

MURI

DURIP

University of California Institutional Review Board for human protection and privacy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/8445678/08370801.pdf?arnumber=8370801

Cited by 24 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. Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation;IEEE Transactions on Intelligent Transportation Systems;2024

2. Data-Driven Forward Stochastic Reachability Analysis for Human-in-the-Loop Systems;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Online Update of Safety Assurances Using Confidence-Based Predictions;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

4. Formal Certification Methods for Automated Vehicle Safety Assessment;IEEE Transactions on Intelligent Vehicles;2023-01

5. Continuous mode adaptation for cable-driven rehabilitation robot using reinforcement learning;Frontiers in Neurorobotics;2022-12-22

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