Mumu: Cooperative multitask learning-based guided multimodal fusion
Multimodal sensors (visual, non-visual, and wearable) can provide complementary
information to develop robust perception systems for recognizing activities accurately …
information to develop robust perception systems for recognizing activities accurately …
VADER: Vector-Quantized Generative Adversarial Network for Motion Prediction
Human motion prediction is an essential component for enabling close-proximity human-
robot collaboration. The task of accurately predicting human motion is non-trivial and is …
robot collaboration. The task of accurately predicting human motion is non-trivial and is …
IMPRINT: Interactional dynamics-aware motion prediction in teams using multimodal context
Robots are moving from working in isolation to working with humans as a part of human-
robot teams. In such situations, they are expected to work with multiple humans and need to …
robot teams. In such situations, they are expected to work with multiple humans and need to …
Mathematical model of a robot-spider for group control synthesis: derivation and validation
VV Kravchenko, AA Efremov… - Journal of Robotics …, 2023 - journal.umy.ac.id
A six-legged spider robot is a complex object from the point of view of the problem of
synthesizing a system for controlling its movement. To synthesize an advanced control …
synthesizing a system for controlling its movement. To synthesize an advanced control …
[PDF][PDF] Coral: Continual representation learning for overcoming catastrophic forgetting
Humans have the ability to acquire, retain and transfer knowledge over their lifespan. For
intelligent agents to achieve fluent longitudinal interaction, they need to continually retain …
intelligent agents to achieve fluent longitudinal interaction, they need to continually retain …
Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities
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 …
environments. Effective HrT relies on the success of complex and dynamic human–robot …
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration
Successful entrainment during collaboration positively affects trust, willingness to
collaborate, and likeability towards collaborators. In this paper, we present a mixed-method …
collaborate, and likeability towards collaborators. In this paper, we present a mixed-method …
Mixed-Integer Programming with Enterprise Risk Analysis for Vehicle Electrification at Maritime Container Ports
RM Baker, TL Polmateer, MC Marcellin… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
There is urgency for electrifying fleet vehicles as a means to reach net-zero emissions and
promote sustainability, including at maritime container ports. Ports are exploring the …
promote sustainability, including at maritime container ports. Ports are exploring the …
Comparison of Spider-Robot Information Models
VV Kravchenko, AA Efremov… - Journal of Robotics …, 2023 - journal.umy.ac.id
The paper deduces a mathematical model of a spider-robot with six three-link limbs. Many
limbs with a multi-link structure greatly complicate the process of synthesizing a model, since …
limbs with a multi-link structure greatly complicate the process of synthesizing a model, since …
What Am I? Evaluating the Effect of Language Fluency and Task Competency on the Perception of a Social Robot
Recent advancements in robot capabilities have enabled them to interact with people in
various human-social environments (HSEs). In many of these environments, the perception …
various human-social environments (HSEs). In many of these environments, the perception …