A deep learning-enabled visual-inertial fusion method for human pose estimation in occluded human-robot collaborative assembly scenarios
B Wang, C Song, X Li, H Zhou, H Yang… - Robotics and Computer …, 2025 - Elsevier
In the context of human-centric smart manufacturing, human-robot collaboration (HRC)
systems leverage the strengths of both humans and machines to achieve more flexible and …
systems leverage the strengths of both humans and machines to achieve more flexible and …
Robots trends and megatrends: artificial intelligence and the society
R Molfino, FE Cepolina, E Cepolina… - Industrial Robot: the …, 2024 - emerald.com
Purpose The purpose of this study is to analyze the robot trends of the next generation.
Design/methodology/approach This paper is divided into two sections: the key modern …
Design/methodology/approach This paper is divided into two sections: the key modern …
Experimental study of the vibrations of a roller shutter gripper
W Kaczmarek, S Borys, J Panasiuk, M Siwek… - Applied Sciences, 2022 - mdpi.com
The article presents issues related to an experimental study of the vibrations of a roller
shutter gripper on a robotic palletizing station. The authors presented the developed and …
shutter gripper on a robotic palletizing station. The authors presented the developed and …
Experimental Study of the Vibration of the Spot Welding Gun at a Robotic Station
S Borys, W Kaczmarek, D Laskowski, R Polak - Applied Sciences, 2022 - mdpi.com
The paper presents issues associated with the experimental study of the vibration of a spot
welding gun mounted on a robotic arm. The main aim of the study was to assess the …
welding gun mounted on a robotic arm. The main aim of the study was to assess the …
Robot programming by demonstration with a monocular RGB camera
K Wang, T Tang - Industrial Robot: the international journal of robotics …, 2023 - emerald.com
Purpose This paper aims to present a new approach for robot programming by
demonstration, which generates robot programs by tracking 6 dimensional (6D) pose of the …
demonstration, which generates robot programs by tracking 6 dimensional (6D) pose of the …
Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization
M Delledonne, E Villagrossi, M Beschi… - IEEE …, 2024 - ieeexplore.ieee.org
The rapid evolution of industrial robot hardware has created a technological gap with
software, limiting its adoption. The software solutions proposed in recent years have yet to …
software, limiting its adoption. The software solutions proposed in recent years have yet to …
[PDF][PDF] A novel visual tracking scheme for unstructured indoor environments
F Martınez, H Montiel, F Martınez - International Journal of Electrical …, 2023 - academia.edu
In the ever-expanding sphere of assistive robotics, the pressing need for advanced methods
capable of accurately tracking individuals within unstructured indoor settings has been …
capable of accurately tracking individuals within unstructured indoor settings has been …
[PDF][PDF] Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization
A RASTEGARPANAH - iris.cnr.it
The rapid evolution of industrial robot hardware has created a technological gap with
software, limiting its adoption. The software solutions proposed in recent years have yet to …
software, limiting its adoption. The software solutions proposed in recent years have yet to …
[معلومات الإصدار][C] Adaptive gras** planning: a novel unified and modular gras** pipeline architecture
JPC Souza - 2023
[معلومات الإصدار][C] Optimization of end trajectory of medical robot arm based on human biomimetics
Z Wang, D Su - Journal of Mechanics in Medicine and Biology, 2024 - World Scientific
The end effector of a medical robotic arm based on human bionics is responsible for surgical
operations, and reasonable end effector trajectory operation is significant to robots. A deep …
operations, and reasonable end effector trajectory operation is significant to robots. A deep …