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Control techniques for safe, ergonomic, and efficient human-robot collaboration in the digital industry: A survey
The fourth industrial revolution, also known as Industry 4.0, is resha** the way individuals
live and work while providing a substantial influence on the manufacturing scenario. The key …
live and work while providing a substantial influence on the manufacturing scenario. The key …
Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control
Robots need robust models to effectively perform tasks that humans do on a daily basis.
These models often require substantial developmental costs to maintain because they need …
These models often require substantial developmental costs to maintain because they need …
Neural network-based adaptive controller design for robotic manipulator subject to varying loads and unknown dead-zone
X Zhao, Z Liu, Q Zhu - Neurocomputing, 2023 - Elsevier
In this article, aiming at handling the trajectory tracking issue of industrial manipulator
system (IMS) with modeling uncertainty, varying loads (VL) and unknown dead-zone …
system (IMS) with modeling uncertainty, varying loads (VL) and unknown dead-zone …
In-air knotting of rope using dual-arm robot based on deep learning
In this study, we report the successful execution of in-air knotting of rope using a dual-arm
two-finger robot based on deep learning. Owing to its flexibility, the state of the rope was in …
two-finger robot based on deep learning. Owing to its flexibility, the state of the rope was in …
Deep predictive learning: Motion learning concept inspired by cognitive robotics
K Suzuki, H Ito, T Yamada, K Kase, T Ogata - ar** for series of tasks in atypical environment: Robotic system with reliable program-based and flexible learning-based approaches
H Ito, S Nakamura - ROBOMECH Journal, 2022 - Springer
We propose a novel robotic system that combines both a reliable programming-based
approach and a highly generalizable learning-based approach. How to design and …
approach and a highly generalizable learning-based approach. How to design and …