Cognitive robotics

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Related publications (28)

Emergence of robust self-organized undulatory swimming based on local hydrodynamic force sensing

Auke Ijspeert, Kamilo Andres Melo Becerra, Laura Isabel Paez Coy, Robin Thandiackal, Kyoichi Akiyama

Undulatory swimming represents an ideal behavior to investigate locomotion control and the role of the underlying central and peripheral components in the spinal cord. Many vertebrate swimmers have central pattern generators and local pressure-sensitive re ...

AMER ASSOC ADVANCEMENT SCIENCE2021

Efficient Configuration Exploration in Inverse Dynamics Acquisition of Robotic Manipulators

Aude Billard, Walid Amanhoud, Sthithpragya Gupta, Farshad Khadivar

The inverse dynamics of a robotic manipulator is instrumental in precise robot control and manipulation. However, acquiring such a model is challenging, not only due to unmodelled non-linearities such as joint friction, but also from a machine learning per ...

IEEE2021

The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation

Dario Floreano, Fabrizio Schiano, Matteo Macchini, Manana Lortkipanidze

The operation of telerobotic systems can be a challenging task, requiring intuitive and efficient interfaces to enable inexperienced users to attain a high level of proficiency. Body-Machine Interfaces (BoMI) represent a promising alternative to standard c ...

2021

Personalized Body-Machine Interfaces for Advanced Human-Robot Interaction

Matteo Macchini

Robotic systems are becoming more and more pervasive in modern industrial, scientific and personal activities through recent years and will play a fundamental role in the future society. Despite their increasing level of automation, teleoperation is still ...

EPFL2021

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

Noémie Laure Gwendoline Jaquier

Humans exhibit outstanding learning and adaptation capabilities while performing various types of manipulation tasks. When learning new skills, humans are able to extract important information by observing examples of a task and efficiently refine a priori ...

EPFL2020

A computer science and robotics integration model for primary school: evaluation of a large-scale in-service K-4 teacher-training program

Francesco Mondada, Frédérique Michèle Chessel-Lazzarotto, Jean-Philippe Pellet, Jessica Elke Dehler Zufferey, Barbara Bruno, Laila Abdelsalam El-Hamamsy, Morgane Solène Denise Chevalier

Integrating computer science (CS) into school curricula has become a worldwide preoccupation. Therefore, we present a CS and Robotics integration model and its validation through a large-scale pilot study in the administrative region of the Canton Vaud in ...

2021

Recent Advances in Robot Learning from Demonstration

Aude Billard, Athanasios Polydoros

In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in which robots acquire new skills by learning to imitate an expert. The choice of LfD over other robot learning methods is compelling when ideal behavior can be n ...

2020

Thought consciousness and source monitoring depend on robotically-controlled sensorimotor conflicts and illusory states

Olaf Blanke, Hannes Bleuler, Fosco Bernasconi, Herberto Dhanis Pedro De Barros Camacho, Andrea Serino, Roy Salomon, Giulio Rognini, Masayuki Hara, Marco Solcà, Giedre Stripeikyte, Polona Pozeg, Pierre Progin

Thought insertion (TI) is characterized by the experience that certain thoughts, occurring in one’s mind, are not one’s own, but the thoughts of somebody else and suggestive of a psychotic disorder. We report a robotics-based method able to investigate the ...

2020

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