6 citations · 16 across the 9 of their papers we have counts for
9 papers
QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly
Samuel Adebayo, Seán McLoone, Joost C. Dessing
QUB-PHEO introduces a visual-based, dyadic dataset with the potential of advancing human-robot interaction (HRI) research in assembly operations and intention inference. This datas…
A Digital Twin Framework for Reinforcement Learning with Real-Time Self-Improvement via Human Assistive Teleoperation
Kabirat Olayemi, Mien Van, Luke Maguire +1
Reinforcement Learning (RL) or Deep Reinforcement Learning (DRL) is a powerful approach to solving Markov Decision Processes (MDPs) when the model of the environment is not known a…
Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare
Federico Zocco, Daniel R. Lake, Seán McLoone +1
The circular economy paradigm is gaining interest as a solution to reducing both material supply uncertainties and waste generation. One of the main challenges in realizing this pa…
A Twin Delayed Deep Deterministic Policy Gradient Algorithm for Autonomous Ground Vehicle Navigation via Digital Twin Perception Awareness
Kabirat Olayemi, Mien Van, Sean McLoone +4
Autonomous ground vehicle (UGV) navigation has the potential to revolutionize the transportation system by increasing accessibility to disabled people, ensure safety and convenienc…
Digital Twin-Driven Reinforcement Learning for Obstacle Avoidance in Robot Manipulators: A Self-Improving Online Training Framework
Yuzhu Sun, Mien Van, Stephen McIlvanna +4
The evolution and growing automation of collaborative robots introduce more complexity and unpredictability to systems, highlighting the crucial need for robot's adaptability and f…
SLYKLatent: A Learning Framework for Gaze Estimation Using Deep Facial Feature Learning
Samuel Adebayo, Joost C. Dessing, Seán McLoone
In this research, we present SLYKLatent, a novel approach for enhancing gaze estimation by addressing appearance instability challenges in datasets due to aleatoric uncertainties,…
Fixed-time Adaptive Neural Control for Physical Human-Robot Collaboration with Time-Varying Workspace Constraints
Yuzhu Sun, Mien Van, Stephen McIlvanna +4
Physical human-robot collaboration (pHRC) requires both compliance and safety guarantees since robots coordinate with human actions in a shared workspace. This paper presents a nov…
An NMPC-ECBF Framework for Dynamic Motion Planning and Execution in vision-based Human-Robot Collaboration
Dianhao Zhang, Mien Van, Pantelis Sopasakis +1
To enable safe and effective human-robot collaboration (HRC) in smart manufacturing, seamless integration of sensing, cognition, and prediction into the robot controller is critica…
Adaptive Safety-critical Control with Uncertainty Estimation for Human-robot Collaboration
Dianhao Zhang, Mien Van, Stephen Mcllvanna +2
In advanced manufacturing, strict safety guarantees are required to allow humans and robots to work together in a shared workspace. One of the challenges in this application field…