Inference of Multi-Class STL Specifications for Multi-Label Human-Robot Encounters-Reference-Cited by-同舟云学术

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Inference of Multi-Class STL Specifications for Multi-Label Human-Robot Encounters

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Linard Alexis¹,Torre Ilaria¹,Leite Iolanda¹,Tumova Jana¹

Affiliation:

1. KTH Royal Institute of Technology,Stockholm,SE,Sweden,100 44

Funder

Knut and Alice Wallenberg Foundation

Swedish Research Council (VR)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982088.pdf?arnumber=9982088

Reference20 articles.

1. Logical Clustering and Learning for Time-Series Data

2. Grid-based temporal logic inference

3. Active Learning of Signal Temporal Logic Specifications

4. A Robust Genetic Algorithm for Learning Temporal Specifications from Data

5. Model predictive control with signal temporal logic specifications

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. Multi-Class Temporal Logic Neural Networks;2024 American Control Conference (ACC);2024-07-10

2. The Human Behind the Robot: Rethinking the Low Social Status of Service Robots;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

3. Real-Time RRT^* with Signal Temporal Logic Preferences;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Mining Specification Parameters for Multi-class Classification;Runtime Verification;2023

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