Inferring Human Intent and Predicting Human Action in Human–Robot Collaboration
Researchers in human–robot collaboration have extensively studied methods for inferring
human intentions and predicting their actions, as this is an important precursor for robots to …
human intentions and predicting their actions, as this is an important precursor for robots to …
Diffupose: Monocular 3d human pose estimation via denoising diffusion probabilistic model
Thanks to the development of 2D keypoint detectors, monocular 3D human pose estimation
(HPE) via 2D-to-3D uplifting approaches have achieved remarkable improvements. Still …
(HPE) via 2D-to-3D uplifting approaches have achieved remarkable improvements. Still …
Visual haptic reasoning: Estimating contact forces by observing deformable object interactions
Robotic manipulation of highly deformable cloth presents a promising opportunity to assist
people with several daily tasks, such as washing dishes; folding laundry; or dressing …
people with several daily tasks, such as washing dishes; folding laundry; or dressing …
[HTML][HTML] Advanced Neural Classifier-Based Effective Human Assistance Robots Using Comparable Interactive Input Assessment Technique
The role of robotic systems in human assistance is inevitable with the bots that assist with
interactive and voice commands. For cooperative and precise assistance, the …
interactive and voice commands. For cooperative and precise assistance, the …
A smart capacitive sensor skin with embedded data quality indication for enhanced safety in human–robot interaction
Smart sensors are an integral part of the Fourth Industrial Revolution and are widely used to
add safety measures to human–robot interaction applications. With the advancement of …
add safety measures to human–robot interaction applications. With the advancement of …
Set-based state estimation with probabilistic consistency guarantee under epistemic uncertainty
Consistent state estimation is challenging, especially under the epistemic uncertainties
arising from learned (nonlinear) dynamic and observation models. In this work, we propose …
arising from learned (nonlinear) dynamic and observation models. In this work, we propose …
Force-Constrained Visual Policy: Safe Robot-Assisted Dressing via Multi-Modal Sensing
Robot-assisted dressing could profoundly enhance the quality of life of adults with physical
disabilities. To achieve this, a robot can benefit from both visual and force sensing. The …
disabilities. To achieve this, a robot can benefit from both visual and force sensing. The …
CapSense: A real-time capacitive sensor simulation framework for physical human-robot interaction
This letter presents CapSense, a real-time open-source capacitive sensor simulation
framework for robotic applications. CapSense provides raw data of capacitive proximity …
framework for robotic applications. CapSense provides raw data of capacitive proximity …
Soft and Compliant Contact-Rich Hair Manipulation and Care
Hair care robots can help address labor shortages in elderly care while enabling those with
limited mobility to maintain their hair-related identity. We present MOE-Hair, a soft robot …
limited mobility to maintain their hair-related identity. We present MOE-Hair, a soft robot …
A Real-time Filter for Human Pose Estimation based on Denoising Diffusion Models for Edge Devices
Human Pose Estimation (HPE) is increasingly utilized across various sectors, from
healthcare to Industry 5.0. To address the inherent inaccuracies in CNN-based HPE …
healthcare to Industry 5.0. To address the inherent inaccuracies in CNN-based HPE …