The deployment of robotic systems has been accelerating in many domains that have a substantial impact on society. For example, robotic systems have been proposed for applications that range from elder care and autonomous driving to nuclear energy production and military technology. However, while our ability to build robotic systems that integrate into our daily lives has expanded over the years, it has outstripped our ability to build robotic systems that can account for the large number of different ethical considerations that may arise during operation. This workshop therefore focuses on building and evaluating ethical robotic systems at every level of the robotics stack while broadening the scope of areas that should be considered by researchers, such as how users can interact with new and existing technology or how legislators can develop actionable standards and regulations.

ERS 2024 aims to bring together researchers from academia and industry to discuss key challenges, learn from real-world case studies, identify potential research avenues, explore recent technical advances, present novel data sets, and survey existing work related to ethical robotic systems. Given this aim, we invite contributions that draw from a range of methods in artificial intelligence and robotics, such as planning, reinforcement learning, machine learning, deep learning, human-robot interaction, safety, explainability, transparency, formal verification, social preferences, and human factors. Most importantly, we welcome researchers from disciplines beyond robotics, including philosophy, psychology, sociology, and law, in order to represent diverse perspectives on building and evaluating ethical robotic systems.

Relevant research topics include but are not limited to:

  • Value alignment in robotic systems
  • Cultural, political, and societal impacts of robotics
  • Methods for analyzing the ethical implications of autonomous systems
  • Moral reasoning in autonomous systems
  • Safe, transparent, explainable, or interpretable AI systems
  • Ethical compliance in robotic systems
  • Ethically sensitive design and implementation of autonomous systems
  • Human-compatible or beneficial AI systems
  • Law, regulation, and governance of robotics
  • Challenges of building and evaluating ethical robotic systems
  • Ethical models and algorithms in robotic systems
  • Impacts of robotics on vulnerable groups
  • Novel data sets or test suites for ethical robotic systems

Contact: ers.workshop@gmail.com


We encourage a range of submission types to facilitate broad participation:

  • Technical Paper (up to 6 pages)
  • Evaluation Paper (up to 6 pages)
  • Survey Paper (up to 8 pages)
  • Position Paper (up to 4 pages)

Details: There is no page limit for references and supplementary materials. Submissions should be in PDF and follow the IROS 2024 format guidelines. All accepted papers will be included in an electronic, non-archival proceedings. Note that papers published, accepted, or under review at other conferences may be submitted and presented at the workshop subject to the conference guidelines.

Best Paper Award

The Center for Human-Compatible AI (CHAI) at UC Berkeley and the Berkeley Existential Risk Initiative (BERI) are generously sponsoring the ERS 2024 Best Paper Award. The best paper will be selected based on a vote by committee. The authors of the best paper will receive a $400 cash prize and a certificate at the end of the workshop.

Important Dates

  • Paper Submission: TBD
  • Author Notification: TBD
  • Camera-Ready Submission: TBD

Invited Speakers


Opening RemarksSamer Nashed
Welcome, Workshop Overview

Invited TalkRon Arkin

Invited TalkMatthias Scheutz

Coffee Break

Invited TalkAJung Moon

Closing RemarksSamer Nashed
Thanks, Paper Awards, Sponsor Acknowledgements

Poster SessionContributed Papers

Program Committee

Name Affilitation
The program committee is currently being formed.


person Samer Nashed
University of Montreal
person Justin Svegliato
University of California, Berkeley
person Louise Dennis
University of Manchester
person David Meger
McGill University
person Ben Kuipers
University of Michigan