World models and predictive coding for cognitive and developmental robotics: Frontiers and challenges
Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
Outlook on human-centric manufacturing towards Industry 5.0
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …
formal discussions that manufacturing should be human-centric–placing the wellbeing of …
Unified keypoint-based action recognition framework via structured keypoint pooling
This paper simultaneously addresses three limitations associated with conventional
skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the …
skeleton-based action recognition; skeleton detection and tracking errors, poor variety of the …
Multi-camera-based human activity recognition for human–robot collaboration in construction
As the use of construction robots continues to increase, ensuring safety and productivity
while working alongside human workers becomes crucial. To prevent collisions, robots must …
while working alongside human workers becomes crucial. To prevent collisions, robots must …
Label flipping data poisoning attack against wearable human activity recognition system
Human Activity Recognition (HAR) is a problem of interpreting sensor data to human
movement using an efficient machine learning (ML) approach. The HAR systems rely on …
movement using an efficient machine learning (ML) approach. The HAR systems rely on …
Explainable human activity recognition based on probabilistic spatial partitions for symbiotic workplaces
TB Tuli, M Manns - International Journal of Computer Integrated …, 2023 - Taylor & Francis
In recent years, smart workplaces that adapt to human activity and motion behavior have
been proposed for cognitive production systems. In this respect, methods for identifying the …
been proposed for cognitive production systems. In this respect, methods for identifying the …
Summary of the Bento Packaging Activity Recognition Challenge
Human activity recognition (HAR) has a great impact on human-robot collaboration (HRC),
especially in industrial works. However, it is difficult to find industrial activity data. With a goal …
especially in industrial works. However, it is difficult to find industrial activity data. With a goal …
Understanding Contexts Inside Robot and Human Manipulation Tasks through Vision-Language Model and Ontology System in Video Streams
Manipulation tasks in daily life, such as pouring water, unfold through human intentions.
Being able to process contextual knowledge from these Activities of Daily Living (ADLs) over …
Being able to process contextual knowledge from these Activities of Daily Living (ADLs) over …
Commonsense Spatial Knowledge-aware 3-D Human Motion and Object Interaction Prediction
SU Lee - 2024 IEEE International Conference on Robotics and …, 2024 - ieeexplore.ieee.org
We propose a novel 3-D human motion and object interaction prediction model that is aware
of commonsense knowledge about human–object interaction. We jointly predict human joint …
of commonsense knowledge about human–object interaction. We jointly predict human joint …
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
The automatic, sensor-based assessment of challenging behavior of persons with dementia
is an important task to support the selection of interventions. However, predicting behaviors …
is an important task to support the selection of interventions. However, predicting behaviors …