On the Adversarial Scenario-based Safety Testing of Robots: the
Comparability and Optimal Aggressiveness

On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness

20 September 2022

Guillermo A. Castillo

Wei Zhang

Papers citing "On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness"

10 / 10 papers shown

Title
HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion Sixu Lin Guanren Qiao Yunxin Tai Ang Li Kui Jia Guiliang Liu 84 2 0 02 Mar 2025
A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling Bowen Weng Minghao Zhu Keith A. Redmill 29 6 0 17 Feb 2022
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version) Bowen Weng L. Capito Ü. Özgüner Keith A. Redmill 36 21 0 19 Apr 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 54 34 0 15 Mar 2021
A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety (extended version) L. Capito Bowen Weng Ü. Özgüner Keith A. Redmill 30 11 0 25 Sep 2020
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems Anthony Corso Robert J. Moss Mark Koren Ritchie Lee Mykel J. Kochenderfer 67 175 0 06 May 2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies Sampo Kuutti Saber Fallah Richard Bowden AAML 42 49 0 27 Feb 2020
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation Anthony Corso Peter Du Katherine Driggs-Campbell Mykel J. Kochenderfer 51 97 0 02 Aug 2019
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 265 12,029 0 19 Jun 2017
Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques Ding Zhao Henry Lam H. Peng S. Bao D. Leblanc Kazutoshi Nobukawa C. S. Pan 55 353 0 16 May 2016