Ap-10k: A benchmark for animal pose estimation in the wild
Accurate animal pose estimation is an essential step towards understanding animal
behavior, and can potentially benefit many downstream applications, such as wildlife …
behavior, and can potentially benefit many downstream applications, such as wildlife …
[PDF][PDF] 3D image processing using machine learning based input processing for man-machine interaction
A Sungheetha, R Sharma - Journal of Innovative Image Processing …, 2021 - academia.edu
In various real time applications, several assisted services are provided by the human-robot
interaction (HRI). The concept of convergence of a three-dimensional (3D) image into a …
interaction (HRI). The concept of convergence of a three-dimensional (3D) image into a …
[HTML][HTML] The path towards contact-based physical human–robot interaction
M Farajtabar, M Charbonneau - Robotics and Autonomous Systems, 2024 - Elsevier
With the advancements in human–robot interaction (HRI), robots are now capable of
operating in close proximity and engaging in physical interactions with humans (pHRI) …
operating in close proximity and engaging in physical interactions with humans (pHRI) …
A real-time human-robot interaction framework with robust background invariant hand gesture detection
In the light of factories of the future, to ensure productive and safe interaction between robot
and human coworkers, it is imperative that the robot extracts the essential information of the …
and human coworkers, it is imperative that the robot extracts the essential information of the …
Towards high performance human keypoint detection
Human keypoint detection from a single image is very challenging due to occlusion, blur,
illumination, and scale variance. In this paper, we address this problem from three aspects …
illumination, and scale variance. In this paper, we address this problem from three aspects …
Adaptive real-time similar repetitive manual procedure prediction and robotic procedure generation for human-robot collaboration
Manual procedure recognition and prediction are essential for practical human-robot
collaboration in industrial tasks, such as collaborative assembly. However, current research …
collaboration in industrial tasks, such as collaborative assembly. However, current research …
MEMS devices-based hand gesture recognition via wearable computing
Gesture recognition has found widespread applications in various fields, such as virtual
reality, medical diagnosis, and robot interaction. The existing mainstream gesture …
reality, medical diagnosis, and robot interaction. The existing mainstream gesture …
Skeleton-CutMix: Mixing Up Skeleton with Probabilistic Bone Exchange for Supervised Domain Adaptation
We present Skeleton-CutMix, a simple and effective skeleton augmentation framework for
supervised domain adaptation and show its advantage in skeleton-based action recognition …
supervised domain adaptation and show its advantage in skeleton-based action recognition …
A collaborative robot for the factory of the future: Bazar
A Cherubini, R Passama, B Navarro, M Sorour… - … International Journal of …, 2019 - Springer
This paper introduces BAZAR, a collaborative robot that integrates the most advanced
sensing and actuating devices in a unique system designed for the Industry 4.0. We present …
sensing and actuating devices in a unique system designed for the Industry 4.0. We present …
Gesture-informed robot assistance via foundation models
Gestures serve as a fundamental and significant mode of non-verbal communication among
humans. Deictic gestures (such as pointing towards an object), in particular, offer valuable …
humans. Deictic gestures (such as pointing towards an object), in particular, offer valuable …