[HTML][HTML] Human-robot shared assembly taxonomy: A step toward seamless human-robot knowledge transfer
Future manufacturing will witness a shift in human-robot relationships toward collaboration,
compassion, and coevolution. This will require seamless human-robot knowledge transfer …
compassion, and coevolution. This will require seamless human-robot knowledge transfer …
Hand-object interaction: From human demonstrations to robot manipulation
Human-object interaction is of great relevance for robots to operate in human environments.
However, state-of-the-art robotic hands are far from replicating humans skills. It is, therefore …
However, state-of-the-art robotic hands are far from replicating humans skills. It is, therefore …
Modeling long-horizon tasks as sequential interaction landscapes
Complex object manipulation tasks often span over long sequences of operations. Task
planning over long-time horizons is a challenging and open problem in robotics, and its …
planning over long-time horizons is a challenging and open problem in robotics, and its …
Combination of dynamical movement primitives with trajectory segmentation and node mapping for robot machining motion learning
Movement primitive (MP) is proposed to model the robot skills with the idea of reusing basic
behavior units. By learning the demonstrations, the MP can be modeled and utilized to …
behavior units. By learning the demonstrations, the MP can be modeled and utilized to …
Subtask-learning based for robot self-assembly in flexible collaborative assembly in manufacturing
S Zhang, H Huang, D Huang, L Yao, J Wei… - The International Journal …, 2022 - Springer
In recent years, human-robot collaboration has been introduced into production systems as
a new generation of production modes, and robot learning technology based on human …
a new generation of production modes, and robot learning technology based on human …
One-shot learning from demonstration approach toward a reciprocal sign language-based HRI
This paper addresses the lack of proper Learning from Demonstration (LfD) architectures for
Sign Language-based Human–Robot Interactions to make them more extensible. The paper …
Sign Language-based Human–Robot Interactions to make them more extensible. The paper …
Al-promp: Force-relevant skills learning and generalization method for robotic polishing
Y Wang, C Chen, F Peng, Z Zheng, Z Gao… - Robotics and Computer …, 2023 - Elsevier
Skill learning in robot polishing is gaining attention and becoming a hot issue. Current
studies on skill learning in robot polishing are mainly about trajectory skills, and force …
studies on skill learning in robot polishing are mainly about trajectory skills, and force …
Combining compliance control, cad based localization, and a multi-modal gripper for rapid and robust programming of assembly tasks
Current trends in industrial automation favor agile systems that allow adaptation to rapidly
changing task requirements and facilitate customized production in smaller batches. This …
changing task requirements and facilitate customized production in smaller batches. This …
Boosting performance of visual servoing using deep reinforcement learning from multiple demonstrations
In this study, knowledge of multiple controllers was used and combined with deep
reinforcement learning (RL) to train a visual servoing (VS) technique. Deep RL algorithms …
reinforcement learning (RL) to train a visual servoing (VS) technique. Deep RL algorithms …
Learning soft robotic assembly strategies from successful and failed demonstrations
M Hamaya, F von Drigalski, T Matsubara… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Physically soft robots are promising for robotic assembly tasks as they allow stable contacts
with the environment. In this study, we propose a novel learning system for soft robotic …
with the environment. In this study, we propose a novel learning system for soft robotic …