Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks
This paper proposes an interaction learning method for collaborative and assistive robots
based on movement primitives. The method allows for both action recognition and human …
based on movement primitives. The method allows for both action recognition and human …
Predicting human intentions in human–robot hand-over tasks through multimodal learning
In human–robot shared manufacturing contexts, product parts or tools hand-over between
the robot and the human is an important collaborative task. Facilitating the robot to figure out …
the robot and the human is an important collaborative task. Facilitating the robot to figure out …
Learning multiple collaborative tasks with a mixture of interaction primitives
Robots that interact with humans must learn to not only adapt to different human partners but
also to new interactions. Such a form of learning can be achieved by demonstrations and …
also to new interactions. Such a form of learning can be achieved by demonstrations and …
Learning interaction for collaborative tasks with probabilistic movement primitives
This paper proposes a probabilistic framework based on movement primitives for robots that
work in collaboration with a human coworker. Since the human coworker can execute a …
work in collaboration with a human coworker. Since the human coworker can execute a …
Phase estimation for fast action recognition and trajectory generation in human–robot collaboration
This paper proposes a method to achieve fast and fluid human–robot interaction by
estimating the progress of the movement of the human. The method allows the progress …
estimating the progress of the movement of the human. The method allows the progress …
Imitation learning for coordinated human–robot collaboration based on hidden state-space models
This paper proposes a novel coordinated human–robot collaboration framework based on
the hidden state-space model, which probabilistically clones the human behaviour and …
the hidden state-space model, which probabilistically clones the human behaviour and …
Inverse design of dynamic protective air supply based on proper orthogonal decomposition
Designing an efficient dynamic protective air supply (DPAS) system to safeguard the
respiratory health of workers during mobile operations is critical in polluted industrial …
respiratory health of workers during mobile operations is critical in polluted industrial …
Adaptive task scheduling for an assembly task coworker robot based on incremental learning of human's motion patterns
J Kinugawa, A Kanazawa, S Arai… - IEEE Robotics and …, 2017 - ieeexplore.ieee.org
Future robots are expected to share the same workspace with humans and work in
cooperation with them to improve productivity and maintain the quality of products …
cooperation with them to improve productivity and maintain the quality of products …
A human-following motion planning and control scheme for collaborative robots based on human motion prediction
Human–Robot Interaction (HRI) for collaborative robots has become an active research
topic recently. Collaborative robots assist human workers in their tasks and improve their …
topic recently. Collaborative robots assist human workers in their tasks and improve their …
Dynamic coordinated air supply for moving individuals in industrial settings: Effectiveness evaluation and demonstration
Tracking occupant movement and reducing pollution exposure in industrial settings utilizing
intelligent ventilation modes without human intervention is a challenge. This work proposes …
intelligent ventilation modes without human intervention is a challenge. This work proposes …