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Human adaptation to human–robot shared control
(IEEE, 2019-04)
Human-in-the-loop robot control systems naturally provide the means for synergistic human-robot collaboration through control sharing. The expectation in such a system is that the strengths of each partner are combined to ...
Synergistic human-robot shared control via human goal estimation
(IEEE, 2016)
In this paper, we propose and implement a synergistic human-robot collaboration framework, where the robotic system estimates the intent or goal of the human operator while being controlled by the human in real-time. Having ...
Learning medical suturing primitives for autonomous suturing
(IEEE, 2021)
This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ...
Adaptive shared control with human intention estimation for human agent collaboration
(IEEE, 2022)
In this paper an adaptive shared control frame-work for human agent collaboration is introduced. In this framework the agent predicts the human intention with a confidence factor that also serves as the control blending ...
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