Multi-dimensional task recognition for human-robot teaming: literature review
Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …
unstructured, dynamic environments will require robots to adapt autonomously to a human …
Real-time recognition of team behaviors by multisensory graph-embedded robot learning
Awareness of team behaviors (eg, individual activities and team intents) plays a critical role
in human–robot teaming. Autonomous robots need to be aware of the overall intent of the …
in human–robot teaming. Autonomous robots need to be aware of the overall intent of the …
Online ECG-based features for cognitive load assessment
PCC Chanel, MD Wilson… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This study was concerned with the development and testing of online cognitive-load
monitoring methods by means of a working-memory experiment using electrocardiogram …
monitoring methods by means of a working-memory experiment using electrocardiogram …
Simultaneous learning from human pose and object cues for real-time activity recognition
Real-time human activity recognition plays an essential role in real-world human-centered
robotics applications, such as assisted living and human-robot collaboration. Although …
robotics applications, such as assisted living and human-robot collaboration. Although …
Robust real-time group activity recognition of robot teams
Recognition of group activities is critical for the success of applications that depend on
effective human-robot teaming. Awareness of these group activities (also referred to team …
effective human-robot teaming. Awareness of these group activities (also referred to team …
Towards multi-UAV and human interaction driving system exploiting human mental state estimation
This paper addresses the growing human-multi-UAV interaction issue. Current active
approaches towards a reliable multi-UAV system are reviewed. This brings us to the …
approaches towards a reliable multi-UAV system are reviewed. This brings us to the …
Multi-dimensional task recognition for human-robot teaming
P Baskaran - 2023 - ir.library.oregonstate.edu
Human-robot teams involve humans and robots collaborating to achieve tasks under various
environmental conditions. Successful teaming requires robots to adapt autonomously in real …
environmental conditions. Successful teaming requires robots to adapt autonomously in real …
Finding islands of predictability in action forecasting
We address dense action forecasting: the problem of predicting future action sequence over
long durations based on partial observation. Our key insight is that future action sequences …
long durations based on partial observation. Our key insight is that future action sequences …
PLAN-B: predicting likely alternative next best sequences for action prediction
Action prediction focuses on anticipating actions before they happen. Recent works
leverage probabilistic approaches to describe future uncertainties and sample future …
leverage probabilistic approaches to describe future uncertainties and sample future …
Learning Guided Associations of Phenotypes and Genotypes Using High-Order Multi-Modal Representations of Longitudinal Medical Data
L Lu - 2021 - search.proquest.com
Alzheimer's Disease (AD) is a severe progressive neurodegenerative disorder, threatening
the health of millions of people. AD usually progresses along a temporal continuum, initially …
the health of millions of people. AD usually progresses along a temporal continuum, initially …