Who's in charge here? A survey on Trustworthy AI in Variable Autonomy Robotic Systems

L Methnani, M Chiou, V Dignum… - ACM Computing Surveys, 2024 - dl.acm.org
This article surveys the Variable Autonomy (VA) robotics literature that considers two
contributory elements to Trustworthy AI: transparency and explainability. These elements …

Mixed-initiative multiagent apprenticeship learning for human training of robot teams

E Seraj, J Xiong, M Schrum… - Advances in Neural …, 2024 - proceedings.neurips.cc
Extending recent advances in Learning from Demonstration (LfD) frameworks to multi-robot
settings poses critical challenges such as environment non-stationarity due to partial …

Research on path planning for robot based on improved design of non-standard environment map with ant colony algorithm

F Li, YC Kim, Z Lyu, H Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
The maps used for the path planning of mobile robots are mostly grid maps, which are
generated through independent design or sensor measurement to obtain relevant …

Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities

S Mehak, JD Kelleher, M Guilfoyle, MC Leva - Machines, 2024 - mdpi.com
Human–robot teaming (HrT) is being adopted in an increasing range of industries and work
environments. Effective HrT relies on the success of complex and dynamic human–robot …

HARMONIC: Cognitive and Control Collaboration in Human-Robotic Teams

S Oruganti, S Nirenburg, M McShane, J English… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents a novel approach to multi-robot planning and collaboration. We
demonstrate a cognitive strategy for robots in human-robot teams that incorporates …

Swift trust in mobile ad hoc human-robot teams

S Milivojevic, M Sobhani, N Webb, Z Madin… - Proceedings of the …, 2024 - dl.acm.org
Integrating robots into teams of humans is anticipated to bring significant capability
improvements for tasks such as searching potentially hazardous buildings. Trust between …

Industrial collaborative environments integrating AI, Big Data and Robotics for smart manufacturing

N Dimitropoulos, G Michalos, Z Arkouli, G Kokotinis… - Procedia CIRP, 2024 - Elsevier
In recent years, global events have posed significant challenges to manufacturing firms'
business models, necessitating adaptable production systems that integrate human and …

Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models

E Seraj, W Talamonti - arXiv preprint arXiv:2403.06088, 2024 - arxiv.org
In the burgeoning field of intelligent transportation systems, enhancing vehicle-driver
interaction through facial attribute recognition, such as facial expression, eye gaze, age, etc …

Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation

M Natarajan, C Xue, S van Waveren, K Feigh… - arXiv preprint arXiv …, 2024 - arxiv.org
For effective human-agent teaming, robots and other artificial intelligence (AI) agents must
infer their human partner's abilities and behavioral response patterns and adapt accordingly …

More Than Meets the Eye? An Experimental Design to Test Robot Visual Perspective-Taking Facilitators Beyond Mere-Appearance

J Currie, KL Mcdonough, A Wykowska… - Companion of the 2024 …, 2024 - dl.acm.org
Visual Perspective Taking (VPT) underpins human social interaction, from joint action to
predicting others' future actions and mentalizing about their goals and affective/mental …