Improving performance of robots using human-inspired approaches: a survey
H Qiao, S Zhong, Z Chen, H Wang - Science China Information Sciences, 2022 - Springer
Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …
research. Improving the performance of ordinary robots usually relies on the collaborative …
Variable compliance control for robotic peg-in-hole assembly: A deep-reinforcement-learning approach
CC Beltran-Hernandez, D Petit, IG Ramirez-Alpizar… - Applied Sciences, 2020 - mdpi.com
Featured Application Assembly tasks with industrial robot manipulators. Abstract Industrial
robot manipulators are playing a significant role in modern manufacturing industries …
robot manipulators are playing a significant role in modern manufacturing industries …
Common sensors in industrial robots: A review
P Li, X Liu - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
The application of industrial robots has greatly promoted the development of industry in the
past decades. Now with the proposal and prevalence of Industry 4.0, industrial robots are …
past decades. Now with the proposal and prevalence of Industry 4.0, industrial robots are …
Compare contact model-based control and contact model-free learning: A survey of robotic peg-in-hole assembly strategies
J Xu, Z Hou, Z Liu, H Qiao - arXiv preprint arXiv:1904.05240, 2019 - arxiv.org
In this paper, we present an overview of robotic peg-in-hole assembly and analyze two main
strategies: contact model-based and contact model-free strategies. More specifically, we first …
strategies: contact model-based and contact model-free strategies. More specifically, we first …
A measurement method for robot peg-in-hole prealignment based on combined two-level visual sensors
T Jiang, H Cui, X Cheng, W Tian - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vision measurement plays a significant role in robot automatic assembly. In this study, a new
measurement method for robot peg-in-hole prealignment via a combined two-level vision …
measurement method for robot peg-in-hole prealignment via a combined two-level vision …
Towards cognition-augmented human-centric assembly: A visual computation perspective
Human-centric assembly is emerging as a promising paradigm for achieving mass
personalization in the context of Industry 5.0, as it fully capitalizes on the advantages of …
personalization in the context of Industry 5.0, as it fully capitalizes on the advantages of …
Humanlike Inverse kinematics for improved spatial awareness in construction robot teleoperation: Design and experiment
The teleoperation of robotic arms is expected to play a key role in dangerous or inaccessible
construction workplaces. Most robot arms rely on mechanical designs that are completely …
construction workplaces. Most robot arms rely on mechanical designs that are completely …
Base position optimization for mobile painting robot manipulators with multiple constraints
Q Yu, G Wang, X Hua, S Zhang, L Song, J Zhang… - Robotics and Computer …, 2018 - Elsevier
This paper proposes an efficient base position (BP) optimization method for mobile painting
robot manipulators (MPRMs). An approximate decoupled model is first established to …
robot manipulators (MPRMs). An approximate decoupled model is first established to …
Moment-based 2.5-D visual servoing for textureless planar part grasping
Conventional moment-based visual servoing methods suffer from several problems in
industrial applications due to the utilization of high-order image moments. In this paper, we …
industrial applications due to the utilization of high-order image moments. In this paper, we …
Image-based visual servoing system for components alignment using point and line features
S Yan, X Tao, D Xu - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
The design of visual servoing system for robotic high-precision assembly is of great
challenge. For the difficulty of insufficient accuracy of target object feature extraction, a deep …
challenge. For the difficulty of insufficient accuracy of target object feature extraction, a deep …