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

2010 ◽  
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

A Multi-Objective Optimization Approach for Multi-Vehicle Path Planning Problems considering Human-Robot Interactions

2022 ◽  
pp. 1-14
Author(s):  
Venkata Sirimuvva Chirala ◽  
Saravanan Venkatachalam ◽  
Jonathon Smereka ◽  
Sam Kassoumeh
Keyword(s):  
Path Planning ◽  
Human Robot Interaction ◽  
Planning Problem ◽  
Optimization Approach ◽  
Unmanned Ground Vehicles ◽  
Ground Vehicles ◽  
Robot Interaction ◽  
Ground Vehicle ◽  
Multi Objective ◽  
Vehicle Path

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.

Defining the Challenges Operators Face when Controlling Multiple Unmanned Vehicles

2005 ◽  
Vol 49 (3) ◽  
pp. 392-396
Author(s):  
Peter N. Squire ◽  
Raja Parasuraman
Keyword(s):  
Supervisory Control ◽  
Unmanned Vehicles ◽  
Human Robot Interaction ◽  
Human Operator ◽  
Simulation Environment ◽  
Robot Interaction ◽  
Human In The Loop ◽  
Control Interface ◽  
New Findings ◽  
Single Operator

To achieve effective human-robot interaction (HRI) it is important to determine what types of supervisory control interfaces lead to optimal human-robot teaming. Research in HRI has demonstrated that operators controlling fewer robots against opponents of equal strength face greater challenges when control is restricted to only automation. Using human-in-the-loop evaluations of delegation-type interfaces, the present study examined the challenges and outcomes of a single operator supervising (1) more or less robots than a simulated adversary, with either a (2) flexible or restricted control interface. Testing was conducted with 12 paid participants using the RoboFlag simulation environment. Results from this experiment support past findings of execution timing deficiencies related to automation brittleness, and present new findings that indicate that successful teaming between a single human operator and a robotic team is affected by the number of robots and the type of interface.

Wayfinder: Evaluating Multitouch Interaction in Supervisory Control of Unmanned Vehicles

2010 ◽  
Author(s):  
Jay Roltgen ◽  
Stephen Gilbert
Keyword(s):  
Control System ◽  
Supervisory Control ◽  
Unmanned Vehicles ◽  
Unmanned Ground Vehicles ◽  
Control Environment ◽  
Ground Vehicles ◽  
Skilled Operator ◽  
Intrinsic Complexity ◽  
Novice Users ◽  
Supervisory Control System

In this paper we investigate whether the use of a multitouch interface allows users of a supervisory control system to perform tasks more effectively than possible with a mouse-based interface. Supervisory control interfaces are an active field of research, but so far have generally utilized mouse-based interaction. Additionally, most such interfaces require a skilled operator due to their intrinsic complexity. We present an interface for controlling multiple unmanned ground vehicles that is conducive to multitouch as well as mouse-based interaction, which allows us to evaluate novice users’ performance in several areas. Results suggest that a multitouch interface can be used as effectively as a mouse-based interface for certain tasks which are relevant in a supervisory control environment.

The effect of human-robot interaction on trust, situational awareness, and performance in drone clearing operations

2019 ◽  
Vol 6 (2) ◽  
pp. 103
Author(s):  
Erik Danford Klein ◽  
Gary Backous ◽  
Thomas M. Schnieders ◽  
Zhonglun Wang ◽  
Richard T. Stone
Keyword(s):  
Situational Awareness ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
And Performance
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