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Related publications (29)

Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems

Petr Listov

This thesis presents an efficient and extensible numerical software framework for real-time model-based control. We are motivated by complex and challenging mechatronic applications spanning from flight control of fixed-wing aircraft and thrust vector cont ...

EPFL2022

Introducing Productive Engagement for Social Robots Supporting Learning

Jauwairia Nasir

We have all been one such student or seen such students who can maintain the 'good student' image while playing a video game under the table or those loyal backbenchers, seemingly always distracted, who then ace their exams. These intricacies of human beha ...

EPFL2022

Controlling Maneuverability of a Bio-Inspired Swimming Robot Through Morphological Transformation

Josephine Anna Eleanor Hughes, Kai Christian Junge, Francesco Stella, Nana Obayashi

Biology provides many examples of where body adaption can be used to achieve a change in functionality. The feather star, an underwater crinoid which uses feather arms to locomote and feed, is one such system; it releases its arms to distract prey and vary ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

José del Rocio Millán Ruiz, Bastien Orset, Kyuhwa Lee, Serafeim Perdikis, Luca Tonin

Mind-controlled wheelchairs are an intriguing assistive mobility solution applicable in complete paralysis. Despite progress in brain-machine interface (BMI) technology, its translation remains elusive. The primary objective of this study is to probe the h ...

Cell Press2022

Questioning Wizard of Oz: Effects of Revealing the Wizard behind the Robot

Pierre Dillenbourg, Pierre Pravin Oppliger, Barbara Bruno, Jauwairia Nasir

Wizard of Oz, a very commonly employed technique in human-robot interaction, faces the criticism of being deceptive as the humans interacting with the robot are told, if at all, only at the end of their interaction that there was in fact a human behind the ...

IEEE2022

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

Sylvain Calinon, Julius Maximilian Jankowski, Emmanuel Pignat, Teguh Santoso Lembono

In high dimensional robotic system, the manifold of the valid configuration space often has a complex shape, especially under constraints such as end-effector orientation or static stability. We propose a generative adversarial network approach to learn th ...

IEEE2021

Optimization of robot configurations for motion planning in industrial riveting

Sylvain Calinon, Hakan Girgin, Teguh Santoso Lembono

Collaborative robots (cobots) have been increasingly used in the industry in recent years. The cobots are often 7-axis kinematically redundant manipulators. Exploiting these redundancies in industrial tasks is still a challenge as the change in the robot j ...

IEEE2021

Design-to-Fabrication Workflow for Raw-Sawn-Timber using Joinery Solver

Petras Vestartas

Currently, the Swiss timber industry in mountain areas largely exports unprocessed lumber and imports finished timber products due to the lack of digital tools. By using new digital design-to-production workflows, it is possible to investigate new building ...

EPFL2021

Development of soft microscopic implants and acoustically-powered machines for biomedical applications

Murat Kaynak

The development of miniaturized machines that can actively cross barriers, navigate through heterogeneous materials and access remote sites can revolutionize environmental inspection and targeted therapy. Seminal work demonstrated the feasibility of follow ...

EPFL2021

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