Naturalistic Human-Robot Interaction Design for Control of Unmanned Ground Vehicles

Abstract There has been unprecedented development in the field of unmanned ground vehicles (UGVs) over the past few years. UGVs have been used in many fields including civilian and military with applications such as military reconnaissance, transportation, and search and research missions. This is due to their increasing capabilities in terms of performance, power, and tackling risky missions. The level of autonomy given to these UGVs is a critical factor to consider. In many applications of multi-robotic systems like “search-and-rescue” missions, teamwork between human and robots is essential. In this paper, given a team of manned ground vehicles (MGVs) and unmanned ground vehicles (UGVs), the objective is to develop a model which can minimize the number of teams and total distance traveled while considering human-robot interaction (HRI) studies. The human costs of managing a team of UGVs by a manned ground vehicle (MGV) are based on human-robot interaction (HRI) studies. In this research, we introduce a combinatorial, multi objective ground vehicle path planning problem which takes human-robot interactions into consideration. The objective of the problem is to find: ideal number of teams of MGVs-UGVs that follow a leader-follower framework where a set of UGVs follow an MGV; and path for each team such that the missions are completed efficiently.

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Human-robot interaction modeling and simulation of supervisory control and situational awareness during field experimentation with military manned and unmanned ground vehicles

10.1117/12.850653 ◽

2010 ◽

Cited By ~ 1

Author(s):

Tony Johnson ◽

Jason Metcalfe ◽

Benjamin Brewster ◽

Christopher Manteuffel ◽

Matthew Jaswa ◽

...

Keyword(s):

Modeling And Simulation ◽

Supervisory Control ◽

Situational Awareness ◽

Human Robot Interaction ◽

Unmanned Ground Vehicles ◽

Ground Vehicles ◽

Robot Interaction ◽

Interaction Modeling ◽

Field Experimentation

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Should my robot know what's best for me? Human–robot interaction between user experience and ethical design

AI & Society ◽

10.1007/s00146-021-01210-3 ◽

2021 ◽

Author(s):

Nora Fronemann ◽

Kathrin Pollmann ◽

Wulf Loh

Keyword(s):

User Experience ◽

Interaction Design ◽

Real Life ◽

Well Being ◽

Design Principles ◽

Human Robot Interaction ◽

Ethical Challenges ◽

Original Design ◽

Robot Interaction ◽

Ethical Design

AbstractTo integrate social robots in real-life contexts, it is crucial that they are accepted by the users. Acceptance is not only related to the functionality of the robot but also strongly depends on how the user experiences the interaction. Established design principles from usability and user experience research can be applied to the realm of human–robot interaction, to design robot behavior for the comfort and well-being of the user. Focusing the design on these aspects alone, however, comes with certain ethical challenges, especially regarding the user’s privacy and autonomy. Based on an example scenario of human–robot interaction in elder care, this paper discusses how established design principles can be used in social robotic design. It then juxtaposes these with ethical considerations such as privacy and user autonomy. Combining user experience and ethical perspectives, we propose adjustments to the original design principles and canvass our own design recommendations for a positive and ethically acceptable social human–robot interaction design. In doing so, we show that positive user experience and ethical design may be sometimes at odds, but can be reconciled in many cases, if designers are willing to adjust and amend time-tested design principles.

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A Walking Training System with Customizable Trajectory Designing

Paladyn Journal of Behavioral Robotics ◽

10.2478/pjbr-2014-0003 ◽

2014 ◽

Vol 5 (1) ◽

Cited By ~ 1

Author(s):

Shiyang Dong ◽

Takafumi Matsumaru

Keyword(s):

Interaction Design ◽

Detection Method ◽

Training System ◽

Human Robot Interaction ◽

Design Concept ◽

Experimental Results ◽

Robot Interaction ◽

Coordination Training ◽

Foot Model ◽

New System

AbstractThis paper shows a novel walking training system for foot-eye coordination. To design customizable trajectories for different users conveniently in walking training, a new system which can track and record the actual walking trajectories by a tutor and can use these trajectories for the walking training by a trainee is developed. We set the four items as its human-robot interaction design concept: feedback, synchronization, ingenuity and adaptability. A foot model is proposed to define the position and direction of a foot. The errors in the detection method used in the system are less than 40 mm in position and 15 deg in direction. On this basis, three parts are structured to achieve the system functions: Trajectory Designer, Trajectory Viewer and Mobile Walking Trainer. According to the experimental results,we have confirmed the systemworks as intended and designed such that the steps recorded in Trajectory Designer could be used successfully as the footmarks projected in Mobile Walking Trainer and foot-eye coordination training would be conducted smoothly.

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