Journal article
Mixed-initiative variable autonomy for remotely operated mobile robots
- Abstract:
-
This article presents an Expert-guided Mixed-initiative Control Switcher (EMICS) for remotely operated mobile robots. The EMICS enables switching between different levels of autonomy during task execution initiated by either the human operator and/or the EMICS. The EMICS is evaluated in two disaster-response-inspired experiments, one with a simulated robot and test arena, and one with a real robot in a realistic environment. Analyses from the two experiments provide evidence that: (a) Human-Initiative (HI) systems outperform systems with single modes of operation, such as pure teleoperation, in navigation tasks; (b) in the context of the simulated robot experiment, Mixed-initiative (MI) systems provide improved performance in navigation tasks, improved operator performance in cognitive demanding secondary tasks, and improved operator workload compared to HI. Last, our experiment on a physical robot provides empirical evidence that identify two major challenges for MI control: (a) the design of context-aware MI control systems; and (b) the conflict for control between the robot’s MI control system and the operator. Insights regarding these challenges are discussed and ways to tackle them are proposed.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 10.8MB, Terms of use)
-
- Publisher copy:
- 10.1145/3472206
Authors
- Publisher:
- Association for Computing Machinery
- Journal:
- ACM Transactions on Human-Robot Interaction More from this journal
- Volume:
- 10
- Issue:
- 4
- Pages:
- 1-34
- Article number:
- 37
- Publication date:
- 2021-09-02
- Acceptance date:
- 2021-05-01
- DOI:
- EISSN:
-
2573-9522
- Language:
-
English
- Keywords:
- Pubs id:
-
1071843
- Local pid:
-
pubs:1071843
- Deposit date:
-
2023-03-10
- ARK identifier:
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2021
- Rights statement:
- © 2022 Association for Computing Machinery. This paper is made open access via creative commons licensing (https://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record