Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- abstractApril 2020
Orthographic Vision-based Interface with Motion-tracking System for Robot Arm Teleoperation: A Comparative Study
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 424–426https://doi.org/10.1145/3371382.3378311Robot teleoperation is crucial for many hazardous situations such as handling radioactive materials, undersea exploration and firefighting. Visual feedback is essential to increase the operator's situation awareness and thus accurately teleoperate a ...
- abstractApril 2020
User Needs and Design Opportunities in End-User Robot Programming
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 93–95https://doi.org/10.1145/3371382.3378300We report on a user study that sought to understand how users program robot tasks by direct demonstration and what problems they encounter when using a state-of-the-art robot programming interface to create and edit robot programs. We discuss how our ...
- abstractApril 2020
A Software System for Human-Robot Interaction To Collect Research Data: A HTML/Javascript Service on the Pepper Robot
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 459–461https://doi.org/10.1145/3371382.3378287A key area in human-robot interaction research is the use of a robot to collect participant research data. However, traditional website-based data collection methods do not intergrate with the robot providing the interaction. This leaves a clear ...
- abstractApril 2020
"I'm Not in the Mode to Help": Interface Design for Robots Operating at Varying Levels of Autonomy
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 594–596https://doi.org/10.1145/3371382.3377450Devices with multiple modes increase user stress, workload, and error rate. Robots that operate at multiple levels of autonomy offer a wide range of functions, but may increase error. In this work, we develop and test multimodal interfaces to ...
- abstractApril 2020
Safe and Robust Robot Learning from Demonstration through Conceptual Constraints
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 588–590https://doi.org/10.1145/3371382.3377428This thesis summary presents research focused on incorporating high-level abstract behavioral requirements, called 'conceptual constraints', into the modeling processes of robot Learning from Demonstration (LfD) techniques. This idea is realized via an ...
- abstractApril 2020
Affect and Embodiment in HRI
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 667–668https://doi.org/10.1145/3371382.3374848Both affect and embodiment have enormous importance for the field of HRI, which is increasingly interested in how the manifestation of the forms of robot embodiment influences the emotional state of the user. Designing and evaluating the affectivity of ...
- abstractApril 2020
Test Methods and Metrics for Effective HRI in Real-World Human-Robot Teams
- Jeremy A. Marvel,
- Shelly Bagchi,
- Megan Zimmerman,
- Murat Aksu,
- Brian Antonishek,
- Yue Wang,
- Ross Mead,
- Terry Fong,
- Heni Ben Amor
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 652–653https://doi.org/10.1145/3371382.3374845This second annual, full-day workshop aims to explore the metrology necessary for repeatably and independently assessing the performance of robotic systems in real-world human-robot interaction (HRI) scenarios. This workshop continues the motion toward ...