Agent-Based Human-Robot Interaction Simulation Model for the Analysis of Operator Performance in the Supervisory Control of UGVs

2018 ◽  
Vol 19 (5) ◽  
pp. 685-693 ◽  
Author(s):  
Sang Yeong Choi
Keyword(s):  
Simulation Model ◽  
Supervisory Control ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Agent Based ◽  
Operator Performance ◽  
Interaction Simulation

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.

Analysis and Compare of Two Control Modes in Physical Human-Robot Interaction

2013 ◽  
Vol 401-403 ◽  
pp. 1600-1604
Author(s):  
Guang Hui Xie ◽  
Mi Na Jin ◽  
Minoru Hashimoto
Keyword(s):  
Human Robot Interaction ◽  
Control Methods ◽  
Robot Interaction ◽  
Neural Oscillators ◽  
Interaction Simulation ◽  
Simulation Results

This paper focus on analyzing and comparing the merits and faults of neural oscillators and dynamics control methods for the physical human-robot interaction. Firstly, the principles of two control modes are introduced about neural oscillators and dynamics. Secondly, their self-oscillation and synchronizatin chracteristics are analyed and compared in both without input and with input cases respectively. Lastly, based on human-robot handshaking interaction, simulation is implemented by using two control methods respctively. And the validity of two control methods are compared and analyzed according to simulation results.

Workload in Human-Robot Interaction: A Review of Manipulations and Outcomes

2009 ◽  
Author(s):  
Matthew S. Prewett ◽  
Kristin N. Saboe ◽  
Ryan C. Johnson ◽  
Michael D. Coovert ◽  
Linda R. Elliott
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction
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