Mumu: Cooperative multitask learning-based guided multimodal fusion

MM Islam, T Iqbal - Proceedings of the AAAI conference on artificial …, 2022 - ojs.aaai.org
Multimodal sensors (visual, non-visual, and wearable) can provide complementary
information to develop robust perception systems for recognizing activities accurately …

VADER: Vector-Quantized Generative Adversarial Network for Motion Prediction

MS Yasar, T Iqbal - 2023 IEEE/RSJ International Conference on …, 2023 - ieeexplore.ieee.org
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 …

IMPRINT: Interactional dynamics-aware motion prediction in teams using multimodal context

MS Yasar, MM Islam, T Iqbal - ACM Transactions on Human-Robot …, 2024 - dl.acm.org
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 …

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 …

[PDF][PDF] Coral: Continual representation learning for overcoming catastrophic forgetting

MS Yasar, T Iqbal - … of the 2023 International Conference on …, 2023 - southampton.ac.uk
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 …

Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities

S Mehak, JD Kelleher, M Guilfoyle, MC Leva - Machines, 2024 - mdpi.com
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 …

Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration

E Schneiders, C Fourie, S Celestin, J Shah… - Proceedings of the CHI …, 2024 - dl.acm.org
Successful entrainment during collaboration positively affects trust, willingness to
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 …

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 …

What Am I? Evaluating the Effect of Language Fluency and Task Competency on the Perception of a Social Robot

S Ali, HN Green, T Iqbal - 2024 33rd IEEE International …, 2024 - ieeexplore.ieee.org
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 …