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An Adversarial Approach to Private Flocking in Mobile Robot Teams
v1v2v3 (latest)

An Adversarial Approach to Private Flocking in Mobile Robot Teams

23 September 2019
Hehui Zheng
Jacopo Panerati
Giovanni Beltrame
Amanda Prorok
ArXiv (abs)PDFHTML

Papers citing "An Adversarial Approach to Private Flocking in Mobile Robot Teams"

5 / 5 papers shown
Title
Robots as AI Double Agents: Privacy in Motion Planning
Robots as AI Double Agents: Privacy in Motion Planning
Rahul Shome
Zachary Kingston
Lydia E. Kavraki
23
3
0
07 Aug 2023
Beyond Robustness: A Taxonomy of Approaches towards Resilient
  Multi-Robot Systems
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay Kumar
154
56
0
25 Sep 2021
Hiding Leader's Identity in Leader-Follower Navigation through
  Multi-Agent Reinforcement Learning
Hiding Leader's Identity in Leader-Follower Navigation through Multi-Agent Reinforcement Learning
A. Deka
Wenhao Luo
Huao Li
M. Lewis
Katia Sycara
88
4
0
10 Mar 2021
An Overview on Optimal Flocking
An Overview on Optimal Flocking
Logan E. Beaver
Andreas A. Malikopoulos
63
73
0
29 Sep 2020
A Game-Theoretic Utility Network for Cooperative Multi-Agent Decisions
  in Adversarial Environments
A Game-Theoretic Utility Network for Cooperative Multi-Agent Decisions in Adversarial Environments
Qin Yang
Ramviyas Parasuraman
56
5
0
23 Apr 2020
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