15 citations · 22 across the 7 of their papers we have counts for
7 papers · 1 filter
The ATTUNE model for Artificial Trust Towards Human Operators
Giannis Petousakis, Angelo Cangelosi, Rustam Stolkin +1
This paper presents a novel method to quantify Trust in HRI. It proposes an HRI framework for estimating the Robot Trust towards the Human in the context of a narrow and specified…
Negotiating Control: Neurosymbolic Variable Autonomy
Georgios Bakirtzis, Manolis Chiou, Andreas Theodorou
Variable autonomy equips a system, such as a robot, with mixed initiatives such that it can adjust its independence level based on the task's complexity and the surrounding environ…
Learning effects in variable autonomy human-robot systems: how much training is enough?
Manolis Chiou, Mohammed Talha, Rustam Stolkin
This paper investigates learning effects and human operator training practices in variable autonomy robotic systems. These factors are known to affect performance of a human-robot…
A Supervised Machine Learning Approach to Operator Intent Recognition for Teleoperated Mobile Robot Navigation
Evangelos Tsagkournis, Dimitris Panagopoulos, Giannis Petousakis +3
In applications that involve human-robot interaction (HRI), human-robot teaming (HRT), and cooperative human-machine systems, the inference of the human partner's intent is of crit…
Robot Health Indicator: A Visual Cue to Improve Level of Autonomy Switching Systems
Aniketh Ramesh, Madeleine Englund, Andreas Theodorou +2
Using different Levels of Autonomy (LoA), a human operator can vary the extent of control they have over a robot's actions. LoAs enable operators to mitigate a robot's performance…
Robot Vitals and Robot Health: Towards Systematically Quantifying Runtime Performance Degradation in Robots Under Adverse Conditions
Aniketh Ramesh, Rustam Stolkin, Manolis Chiou
This paper addresses the problem of automatically detecting and quantifying performance degradation in remote mobile robots during task execution. A robot may encounter a variety o…