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Wall-contact sliding control strategy for a 2D caged quadrotor

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Robots outside of the fenced factories have to deal with continuously changing environment, this requires fast and flexible modes of control. Planning methods or complex learning models can find optimal paths in complex surroundings, but they are computati ...

EPFL2024

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The use of aerial vehicles for exploration and data collection has the potential to significantly aid environmental monitoring in environments which are dangerous and hard to navigate. However, within these environments navigation can often be restricted b ...

2023

Navigation of Concentric Tube Continuum Robots using Optimal Control

John Maddocks, Siva Prasad Chakri Dhanakoti

Recently developed Concentric Tube Continuum Robots (CTCRs) are widely exploited in, for example in minimally invasive surgeries which involve navigating inside narrow body cavities close to sensitive regions. These CTCRs can be controlled by extending and ...

SCITEPRESS2022

Model-Free Iterative Learning Control With Nonrepetitive Trajectories for Second-Order MIMO Nonlinear Systems-Application to a Delta Robot

Mohamed Bouri

A model-free iterative learning control strategy (ILC) in nonrepetitive trajectories, applied to robotic manipulators is presented in this article. The development of this ILC controller is derived in general case for second-order nonlinear multi-input mul ...

2021

You Tell, I Do, and We Swap until we Connect All the Gold Mines!

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Utku Norman

The Project JUSThink has a double goal: (i), to help train the Computational Thinking skills of children with a collaborative, robot-mediated activity, (ii), to acquire insights about how children detect and solve misunderstandings, and what keeps them eng ...

2020

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

Nadia Barbara Figueroa Fernandez

Humans have a remarkable way of learning, adapting and mastering new manipulation tasks. With the current advances in Machine Learning (ML), the promise of having robots with such capabilities seems to be on the cusp of reality. Transferring human-level sk ...

EPFL2019

Learning from demonstration with model-based Gaussian process

Sylvain Calinon, David Ginsbourger, Noémie Laure Gwendoline Jaquier

In learning from demonstrations, it is often desirable to adapt the behavior of the robot in function of the variability retrieved from human demonstrations and the (un)certainty encoded in different parts of the task. In this paper, we propose a novel mul ...

2019

A Dynamical System Approach to Motion and Force Generation in Contact Tasks

Aude Billard, Mahdi Khoramshahi, Walid Amanhoud

Many tasks require the robot to enter in contact with surfaces, be it to take support, to polish or to grasp an object. It is crucial that the robot controls forces both upon making contact and while in contact. While many solutions exist to control for co ...

Robotics: Science and Systems (RSS)2019

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MIT PRESS2019

Wall-contact sliding control strategy for a 2D caged quadrotor

Dario Floreano, Przemyslaw Mariusz Kornatowski, Pu Bai

This paper addresses the trajectory tracking problem of a 2D caged flying robot in contact with a wall. To simplify the contact problem, the models are constructed on a vertical two-dimensional plane, and our objective is to let the quadrotor hover or move ...

2018