[HTML][HTML] Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Abstract Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …
[HTML][HTML] A survey on the design and evolution of social robots—Past, present and future
Despite the relatively young age of Human–Robot Interaction (HRI) as a field, there is a
large volume of research on advances in robot hardware, software and behavior. The goal …
large volume of research on advances in robot hardware, software and behavior. The goal …
Gimo: Gaze-informed human motion prediction in context
Predicting human motion is critical for assistive robots and AR/VR applications, where the
interaction with humans needs to be safe and comfortable. Meanwhile, an accurate …
interaction with humans needs to be safe and comfortable. Meanwhile, an accurate …
An outlook into the future of egocentric vision
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …
research in egocentric vision and the ever-anticipated future, where wearable computing …
Pose forecasting in industrial human-robot collaboration
Pushing back the frontiers of collaborative robots in industrial environments, we propose a
new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For …
new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For …
Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results
This paper summarizes the 2021 ChaLearn Looking at People Challenge on Understanding
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
Gaze-based intention estimation: principles, methodologies, and applications in HRI
A Belardinelli - ACM Transactions on Human-Robot Interaction, 2024 - dl.acm.org
Intention prediction has become a relevant field of research in Human–Machine and Human–
Robot Interaction. Indeed, any artificial system (co)-operating with and along humans …
Robot Interaction. Indeed, any artificial system (co)-operating with and along humans …
Mogaze: A dataset of full-body motions that includes workspace geometry and eye-gaze
P Kratzer, S Bihlmaier, NB Midlagajni… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
As robots become more present in open human environments, it will become crucial for
robotic systems to understand and predict human motion. Such capabilities depend heavily …
robotic systems to understand and predict human motion. Such capabilities depend heavily …
Best Practices for 2-Body Pose Forecasting
MRU Rahman, L Scofano… - Proceedings of the …, 2023 - openaccess.thecvf.com
The task of collaborative human pose forecasting stands for predicting the future poses of
multiple interacting people, given those in previous frames. Predicting two people in …
multiple interacting people, given those in previous frames. Predicting two people in …
The ANEMONE: theoretical foundations for UX evaluation of action and intention recognition in human-robot interaction
J Lindblom, B Alenljung - Sensors, 2020 - mdpi.com
The coexistence of robots and humans in shared physical and social spaces is expected to
increase. A key enabler of high-quality interaction is a mutual understanding of each other's …
increase. A key enabler of high-quality interaction is a mutual understanding of each other's …