Jessie

Kubota, Alyssa; Peterson, Emma I. C.; Rajendren, Vaishali; Kress-Gazit, Hadas; Riek, Laurel D.

doi:10.1145/3319502.3374836

Cited by 36 publications

(18 citation statements)

References 85 publications

(103 reference statements)

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“…Kubota et al [ 12 ] presented JESSIE, a robot behavioral specification system, which allows people with no prior programming experience to write complex, dynamic control software for robots using only paper cards and a camera. The system was demonstrated on two different physical robot embodiments and all supplemental materials are released as open source to support reproducibility.…”

Section: Reproducibility In Hrimentioning

confidence: 99%

Reproducibility in Human-Robot Interaction: Furthering the Science of HRI

et al. 2022

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Purpose of Review To discuss the current state of reproducibility of research in human-robot interaction (HRI), challenges specific to the field, and recommendations for how the community can support reproducibility. Recent Findings As in related fields such as artificial intelligence, robotics, and psychology, improving research reproducibility is key to the maturation of the body of scientific knowledge in the field of HRI. The ACM/IEEE International Conference on Human-Robot Interaction introduced a theme on Reproducibility of HRI to their technical program in 2020 to solicit papers presenting reproductions of prior research or artifacts supporting research reproducibility. Summary This review provides an introduction to the topic of research reproducibility for HRI and describes the state of the art in relation to the HRI 2020 Reproducibility theme. As a highly interdisciplinary field that involves work with technological artifacts, there are unique challenges to reproducibility in HRI. Biases in research evaluation and practice contribute to challenges in supporting reproducibility, and the training of researchers could be changed to encourage research reproduction. The authors propose a number of solutions for addressing these challenges that can serve as guidelines for the HRI community and related fields.

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Section: Reproducibility In Hrimentioning

confidence: 99%

Reproducibility in Human-Robot Interaction: Furthering the Science of HRI

et al. 2022

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“…Single-microphone systems have been gradually substituted by microphone array systems in which a plurality of sensors allow them to capture sound from the entire surrounding environment, in order to obtain a natural relationship with humans and eventually locate them only through their voice perception. Complex systems as Pepper [ 22 , 23 , 24 , 25 , 26 ] and NAO [ 16 , 17 , 18 , 19 ] present composite audio systems with four directional microphones; e.g., the tabletop robot KURI is equipped with a microphone array [ 103 ].…”

Section: Discussionmentioning

confidence: 99%

Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions

Ragno,

Borboni,

Vannetti

et al. 2023

Sensors

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Cyber-physical or virtual systems or devices that are capable of autonomously interacting with human or non-human agents in real environments are referred to as social robots. The primary areas of application for biomedical technology are nursing homes, hospitals, and private homes for the purpose of providing assistance to the elderly, people with disabilities, children, and medical personnel. This review examines the current state-of-the-art of social robots used in healthcare applications, with a particular emphasis on the technical characteristics and requirements of these different types of systems. Humanoids robots, companion robots, and telepresence robots are the three primary categories of devices that are identified and discussed in this article. The research looks at commercial applications, as well as scientific literature (according to the Scopus Elsevier database), patent analysis (using the Espacenet search engine), and more (searched with Google search engine). A variety of devices are enumerated and categorized, and then our discussion and organization of their respective specifications takes place.

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“…Unlike Polaris, however, spbd is limited to navigation domains and lacks a user study. Another tool, JESSIE, similarly captures goal state within its program logic, but this logic is not exposed to the user [33]. Polaris additionally distinguishes itself from prior work that views goals as high-level task commands (e.g.,"open a sliding door" as a goal in [1]) due to our strict definition of goals as expressing desired state rather than any information about the robot's actions.…”

Section: Robot End-user Programmingmentioning

confidence: 99%

“…Furthermore, in ✓ Nav. ✓ JESSIE [33] Social ✓ Tabula [42] ✓ Service ✓ RoVer [41] Social ✓ ✓ RoboFlow [3] Service ✓ Table 1: A comparison of Polaris to closely related EUP tools. Polaris exposes goal predicates to users, explicitly incorporates AI planning techniques, provides visual feedback on user programs through its interface, and is user-evaluated.…”

Section: Introductionmentioning

confidence: 99%

Goal-Oriented End-User Programming of Robots

Porfirio,

Roberts,

Hiatt

2024

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

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End-user programming (EUP) tools must balance user control with the robot's ability to plan and act autonomously. Many existing task-oriented EUP tools enforce a specific level of control, e.g., by requiring that users hand-craft detailed sequences of actions, rather than offering users the flexibility to choose the level of task detail they wish to express. We thereby created a novel EUP system, Polaris, that in contrast to most existing EUP tools, uses goal predicates as the fundamental building block of programs. Users can thereby express high-level robot objectives or lower-level checkpoints at their choosing, while an off-the-shelf task planner fills in any remaining program detail. To ensure that goal-specified programs adhere to user expectations of robot behavior, Polaris is equipped with a Plan Visualizer that exposes the planner's output to the user before runtime. In what follows, we describe our design of Polaris and its evaluation with 32 human participants. Our results support the Plan Visualizer's ability to help users craft higher-quality programs. Furthermore, there are strong associations between user perception of the robot and Plan Visualizer usage, and evidence that robot familiarity has a key role in shaping user experience. CCS CONCEPTS• Human-centered computing → Systems and tools for interaction design; • Computer systems organization → Robotics.

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Jessie

Cited by 36 publications

References 85 publications

Reproducibility in Human-Robot Interaction: Furthering the Science of HRI

Reproducibility in Human-Robot Interaction: Furthering the Science of HRI

Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions

Goal-Oriented End-User Programming of Robots

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