Abstract
Automated care systems are becoming more tangible than ever: recent breakthroughs in robotics and machine learning can be used to address the need for automated care created by the increasing aging population. However, such systems require overcoming several technological, ethical, and social challenges. One inspirational manifestation of these challenges can be observed in the training of seeing-eye dogs for visually impaired people. A seeing-eye dog is not just trained to obey its owner, but also to “intelligently disobey”: if it is given an unsafe command from its handler, it is taught to disobey it or even insist on a different course of action. This paper proposes the challenge of building a seeing-eye robot, as a thought-provoking use-case that helps identify the challenges to be faced when creating behaviors for robot assistants in general. Through this challenge, this paper delineates the prerequisites that an automated care system will need to have in order to perform intelligent disobedience and to serve as a true agent for its handler.
| Original language | English |
|---|---|
| Title of host publication | 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
| Pages | 28-33 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781713832621 |
| State | Published - 2021 |
| Externally published | Yes |
| Event | 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 - Virtual, Online Duration: 3 May 2021 → 7 May 2021 |
Publication series
| Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
|---|---|
| Volume | 1 |
| ISSN (Print) | 1548-8403 |
| ISSN (Electronic) | 1558-2914 |
Conference
| Conference | 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 |
|---|---|
| City | Virtual, Online |
| Period | 3/05/21 → 7/05/21 |
Bibliographical note
Publisher Copyright:© 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Funding
The authors thank Scott Niekum and Aaron Steinfeld for helpful discussions on the ideas presented in this paper. This work has taken place in the Learning Agents Research Group (LARG) at UT Austin. LARG research is supported in part by NSF (CPS-1739964, IIS-1724157, NRI-1925082), ONR (N00014-18-2243), FLI (RFP2-000), ARO (W911NF-19-2-0333), DARPA, Lock-heed Martin, GM, and Bosch. Peter Stone serves as the Executive Director of Sony AI America and receives financial compensation for this work. The terms of this arrangement have been reviewed and approved by the University of Texas at Austin in accordance with its policy on objectivity in research. The authors thank Scott Niekum and Aaron Steinfeld for helpful discussions on the ideas presented in this paper. This work has taken place in the Learning Agents Research Group (LARG) at UT Austin. LARG research is supported in part by NSF (CPS-1739964, IIS-1724157, NRI-1925082), ONR (N00014-18-2243), FLI (RFP2-000), ARO (W911NF-19-2-0333), DARPA, Lockheed Martin, GM, and Bosch. Peter Stone serves as the Executive Director of Sony AI America and receives financial compensation for this work. The terms of this arrangement have been reviewed and approved by the University of Texas at Austin in accordance with its policy on objectivity in research.
| Funders | Funder number |
|---|---|
| FLI | RFP2-000 |
| National Science Foundation | IIS-1724157, NRI-1925082, CPS-1739964 |
| Office of Naval Research | N00014-18-2243 |
| Army Research Office | W911NF-19-2-0333 |
| Defense Advanced Research Projects Agency | |
| University of Texas at Austin | |
| Robert Bosch (Australia) Pty |
Keywords
- Automated care
- Grand challenge
- Service robots
- Surrogacy