Teleoperation of robotsÌıcan be quite challenging, especially for novice users because itÌıforces users to focus on low-level aspects of robot control, rather than higher level goals regarding task completion, data analysisÌıand problem solving.
This project involved the investigation ofÌıremote control systems that help people operate complex robots. Different strategies were researched for providing assistance to robot operators, including learning more about operators' goals, so that robots couldÌıbe more helpful.Ìı
The researchers explored how advances in augmented reality (AR) may enable the design of novel teleoperation interfaces that increase operation effectiveness, support the user in conducting concurrent workÌıand decrease stress. AÌıkey insight is that AR may be used such that a teleoperator controls a virtual robot surrogate, rather than directly operating the robot itself, providing the user with foresight regarding where the physical robot will end up and how it will get there. The researchers presented the design of two novel interfaces using such a surrogate: one focused on real-time control and one inspired by waypoint delegation. TheyÌıcompared these designs against a baseline teleoperation system in a laboratory experiment in which novice and expert users piloted an aerial robot to inspect an environment and analyze data. TheirÌıresults revealed that the augmented reality prototypes provided several objective and subjective improvements, demonstrating the promise of leveraging AR to improve human-robot interactions.
Ìı
Ìı
Publications
- Michael Walker, Hooman HedayatiÌıand Daniel Szafir.Ìı2019.ÌıRobot Teleoperation with Augmented Reality Virtual Surrogates. In Proceedings of the 2019ÌıACM/IEEEÌıInternational Conference on Human-Robot Interaction (HRI '19).Ìı(Daegu, South Korea – March 11-14, 2019).
Ìı
Associated Researchers
