Publication

Exploring Spatial Perspective Taking in Human-Robot Interaction

Publications associées (109)

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Most human-robot interfaces, such as joysticks and keyboards, require training and constant cognitive effort and provide a limited degree of awareness of the robots’ state and its environment. Embodied interactions, that is the bidirectional link between t ...
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Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces

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Human-Robot Interfaces (HRIs) can be hard to master for inexperienced users, making the teleoperation of mobile robots a difficult task. The development of Body-Machine Interfaces (BoMIs) represents a promising approach to making a user more proficient, by ...
2019

Responsive Joint Attention in Human-Robot Interaction

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Joint attention has been shown to be not only crucial for human-human interaction but also human-robot interaction. Joint attention can help to make cooperation more efficient, support disambiguation in instances of uncertainty and make interactions appear ...
IEEE2019

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2019

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

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Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...
2018

Non-invasive brain stimulation to enhance cognitive rehabilitation after stroke

Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Laurijn Rianne Draaisma

Stroke is a main cause for long-term disability. Stroke symptoms cover various domains, e.g., motor, sensory, language, or other cognitive functions. In clinical practice and rehabilitation research, especially motor impairment attracts much attention. How ...
2018

Interactions of spatial strategies producing generalization gradient and blocking: A computational approach

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We present a computational model of spatial navigation comprising different learning mechanisms in mammals, i.e., associative, cognitive mapping and parallel systems. This model is able to reproduce a large number of experimental results in different varia ...
2018

Using Robust Principal Component Analysis to Reduce EEG Intra-Trial Variability

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

Practical brain-computer interfaces need to overcome several challenges, including tolerance to signal variability within- and across sessions. We introduce Robust Principal Component Analysis (RPCA) as a potential approach to tackle intra-trial variabilit ...
2018

Causal role of the inferolateral prefrontal cortex in balancing goal-directed and habitual control of behavior

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Successful adaptation to complex environments depends on the balance of at least two systems: a flexible but slow goal-directed system encoding action-outcome associations and an efficient but rigid habitual system linking responses to preceding stimuli. R ...
Nature Publishing Group2018

Trends in robot-assisted and virtual reality-assisted neuromuscular therapy: a systematic review of health-related multiplayer games

Background: Multiplayer games have emerged as a promising approach to increase the motivation of patients involved in rehabilitation therapy. In this systematic review, we evaluated recent publications in health-related multiplayer games that involved pati ...
2018

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