[robotics-worldwide] [meetings] RSS 2018 Workshop on Adversarial Robotics (Deadline extended to June 8, 2018)

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[robotics-worldwide] [meetings] RSS 2018 Workshop on Adversarial Robotics (Deadline extended to June 8, 2018)

Hao Zhang
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Call for Posters

RSS 2018 Workshop on Adversarial Robotics
June 30, 2018
Carnegie Mellon University, Pittsburgh, PA, USA

Website: https://urldefense.proofpoint.com/v2/url?u=http-3A__hcr.mines.edu_2018-2Drss-2Dworkshop&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=T83Kaqta7S-rX6zE77CZ3u1-QtKqrFASYkXkIWK4JRY&s=knXXQFiCAQ44uYSO6oafUGomcxe6znd4WE12abXozXw&e=
Extended submission deadline: June 8, 2018
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The Workshop on Adversarial Robotics will bring together researchers from the interdisciplinary areas of robotics, security, and AI, with the goal of identifying and codifying the challenges in the emerging area of adversarial robotics - developing secure, resilient, and robust robots that operate in adversarial settings.

Robots are becoming prominent. However, robots may pose serious threats. Compromised robots could quickly become dangerous physical entities capable of causing substantive safety issues. Adversarial activities can result in incorrect robot perception, adaptation, and decision making, which could cause anything from mission failures to harm to humans and environments. It is clear that security, resilience and robustness of robots is critical, and is increasingly recognized one of the major challenges remaining for robots to operate in domains subject to these risks. We believe that now is the appropriate time to start discussion towards solving this challenge.

Topics relevant to the agenda range from development of robot perception, adaptation, reasoning, and planning that are resilient to adversaries, application of robots operating in adversarial environments, cybersecurity design to secure robots, and theoretical and experimental analysis of attack vectors to robots. We will include speakers from beyond the typical robotics community, to identify connections with work in security and AI, and open up exciting avenues of research in adversarial robotics. This is the first workshop of its kind at an academic conference, and is intended to serve as a timely call to arm the academic community in response to the growing promise of this emerging field.

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*Call for Posters*

We invite submission of poster abstracts on topics within the theme of the workshop: Adversarial Robotics. We accept published and ongoing work. Authors of accepted abstracts will present their posters at the workshop. In addition, the pdf file of the posters along with their abstracts will be made available for general public on the workshop website. Topics of interest include but are not limited to:

- Robust perception in adversarial environments
- Adversarial robot learning and adaptation
- Planning and decision making in adversarial settings
- Human-autonomy teaming in adversarial scenarios
- Resilient robot operation in situations with adversaries
- Hardware security of robots
- Cybersecurity of robotic systems
- Theoretical and experimental analysis of attack vectors to robots
- Robot ethics in adversarial scenarios

*Important Dates*

- Submission deadline: June 8, 2018 (extended)
- Acceptance Notification: June 10, 2018

*Submission*

Please submit a 1-2 page abstract in the RSS 2018 format to [hidden email].

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*Invited Speakers*

- Katia Sycara (Carnegie Mellon University)
- Timothy Chung (Defense Advanced Research Projects Agency)
- Chad Tossell, Nathan Tenhundfeld (United States Air Force Academy)
- Nikolay A. Atanasov (University of California San Diego)

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*Organizing Committee*

- Hao Zhang, Colorado School of Mines
- Christopher Reardon, U.S. Army Research Laboratory
- Kun Sun, George Mason University
- Chuan Yue, Colorado School of Mines

*Advisory Board*

- Lynne E. Parker, University of Tennessee
- Stuart Young, U.S. Army Research Laboratory
- Sushil Jajodia, George Mansion University

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*Contact*

All questions about submissions should be emailed to Hao Zhang ([hidden email]).

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