"Where am i?" acquiring situation awareness using a remote robot platform

Yanco, Holly A.; Drury, Jill L.

doi:10.1109/icsmc.2004.1400762

Cited by 100 publications

(80 citation statements)

References 14 publications

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“…Scholtz et al (2004) used Endsley's (1988) Situation Awareness Global Assessment Technique (SAGAT) to determine robotic vehicle supervisors' awareness of when vehicles were in trouble and thus required closer monitoring or intervention. Yanco and Drury (2004) employed usability testing to determine (among other things) how well a search and rescue interface supported use by first responders.…”

Section: Introductionmentioning

confidence: 99%

Evolving interface design for robot search tasks

Yanco

Keyes

Drury

et al. 2007

Journal of Field Robotics

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This paper describes two steps in the evolution of human-robot interaction designs developed by the University of Massachusetts Lowell (UML) and the Idaho National Laboratory (INL) to support urban search and rescue tasks. We conducted usability tests to compare the two interfaces, one of which emphasized three-dimensional mapping while the other design emphasized the video feed. We found that participants desired a combination of the interface design approaches. As a result, we changed the UML system to augment its heavy emphasis on video with a map view of the area immediately around the robot. We tested the changes in a follow-on user study and the results from that experiment suggest that performance, as measured by the number of collisions with objects in the environment and time on task, is better with the new interaction techniques. Throughout the paper, we describe how we applied human-computer interaction principles and techniques to benefit the evolution of the human-robot interaction designs. While the design work is situated in the urban search and rescue domain, we feel the results can be generalized to domains that involve other search or monitoring tasks using remotely located robots.2

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Section: Introductionmentioning

confidence: 99%

Evolving interface design for robot search tasks

Yanco

Keyes

Drury

et al. 2007

Journal of Field Robotics

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“…In usability experiments [2], we observed the robot bump obstacles in the environment an average of 2.6 times per run. Of the 29 hits during all of the four subjects' runs, 12 or 41% of the hits were on the rear of the robot.…”

Section: Adding Sensors To the Rear Of The Robotmentioning

confidence: 99%

“…The operator also needs to use the video to locate victims in the environment. In a study of how operators acquire situation awareness, we found that an average of 30% of run time was spent looking around the environment to the exclusion of all other tasks (i.e., just looking, not navigating at the same time) [2].…”

Section: Designing a New Interfacementioning

confidence: 99%

“…In fact, most USAR robots that are sent into disaster zones are teleoperated. For this application, operators must have a good awareness of their surroundings, yet it is difficult to obtain situation awareness [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…We have performed studies on more than a dozen USAR interfaces used in the American Association for Artificial Intelligence (AAAI) and RoboCup Robot Rescue competitions and have also done usability testing with domain experts at the National Institute of Standards and Technology (see, for example, [1], [2] and [3]). These studies allowed us to identify the successes and failures of different interfaces, and we have developed guidelines for the effective design of interfaces for human-robot interaction in a USAR application [4]:…”

Section: Introductionmentioning

confidence: 99%

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Improved interfaces for human-robot interaction in urban search and rescue

Baker

Casey

Keyes

et al.

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)

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Negotiating Uneven Terrain with a Compliant Designed Unmanned Ground Vehicle Equipped with Locomotive Master‐Slave Operation

Fukuoka

Hoshi²,

Kurosawa

2013

Journal of Field Robotics

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In recent years, a number operational unmanned ground vehicles (UGVs) have been developed that can negotiate irregular terrain. They have a number of degrees-of-freedom (DOF) giving them enhanced mobility, e.g., the ability to climb stairs and over obstacles. However, operating them remotely is complicated because their controllers are similar to conventional control pads or joysticks used in computer games or toys. It is hard for the operator to achieve an intuitive and natural feel, thus mistakes are common. To intuitively control the locomotion of a UGV with many DOFs, a master-slave operation was implemented. A novel UGV called Kurogane, which consists of a typical crawler combined with a human-like torso section, was developed. The torso section is controlled via a wearable controller interface. In addition, the UGV is equipped with models of muscle viscoelasticity and stretch reflex, called the involuntary autonomous adaptation system, inspired by the adaptive compliance of animals. The proposed system can autonomously and flexibly react and adapt to irregular terrain in real time. Therefore, the operation of Kurogane is simple and does not require great skill or precision. Experimental results show that it performs well over a fixed step, stairs, and rough outdoor terrain. C

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"Where am i?" acquiring situation awareness using a remote robot platform

Abstract: - K e y w o r d s :Situation awareness, human-robot interaction, HRI, urban search and rescue, humancomputer interaction, HCI.

Cited by 100 publications

References 14 publications

Evolving interface design for robot search tasks

Evolving interface design for robot search tasks

Improved interfaces for human-robot interaction in urban search and rescue

Negotiating Uneven Terrain with a Compliant Designed Unmanned Ground Vehicle Equipped with Locomotive Master‐Slave Operation

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