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Concept

FANUC

Related publications (24)

Investigating neural resource allocation in the sensorimotor control of extra limbs

Giulia Dominijanni

The rise of robotic body augmentation brings forth new developments that will transform robotics, human-machine interaction, and wearable electronics. Extra robotic limbs, although building upon restorative technologies, bring their own set of challenges i ...

EPFL2024

Robotic Assembly of Integrally-Attached Timber Plate Structures: From Computational Design to Automated Construction

Nicolas Henry Pierre Louis Rogeau

The digitization of timber construction, the emergence of engineered wood products, and the urgent need to drastically reduce buildings' environmental impact have given a rebirth to wood as a construction material. On the one hand, increasing the use of ti ...

EPFL2023

Geometric and Learning Methods for Robots to Navigate in Human Crowds with Application to Smart Mobility Devices

David Julian Gonon

The thesis at hand is concerned with robots' navigation in human crowds. Specifically, methods are developed for planning a mobile robot's local motion between pedestrians, and they are evaluated in experiments where a robot interacts with real pedestrians ...

EPFL2023

Reinforcement learning for scaffold-free construction of spanning-structures

Maryam Kamgarpour, Stefana Parascho, Anna Maria Maddux, Gabriel Rémi Vallat, Jingwen Wang

In construction robotics, a conventional design-to-fabrication work-flow starts with designing a structure, followed by task and robotic motion planning, and ultimately, fabrication. However, this approach can prove unsuccessful, as we may only discover th ...

New York2023

Training Efficient Controllers via Analytic Policy Gradient

Dario Floreano, Davide Scaramuzza, Valentin Wüest

Control design for robotic systems is complex and often requires solving an optimization to follow a trajectory accurately. Online optimization approaches like Model Predictive Control (MPC) have been shown to achieve great tracking performance, but requir ...

New York2023

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

Alcherio Martinoli, Cyrill Silvan Baumann

The automatic design of well-performing robotic controllers is still an unsolved problem due to the inherently large parameter space and noisy, often hard-to-define performance metrics, especially when sequential tasks need to be accomplished. Distal contr ...

2022

Leveraging Multi-Level Modelling to Automatically Design Behavioral Arbitrators in Robotic Controllers

Alcherio Martinoli, Cyrill Silvan Baumann

Automatic control design for robotic systems is becoming more and more popular. However, this usually involves a significant computational cost, due to the expensive and noisy evaluation of candidate solutions through highfidelity simulation or even real h ...

2022

Dual Stiffness Tensegrity Platform for Resilient Robotics

Dario Floreano, Stefano Mintchev, Yi Sun, Davide Zappetti

Collision resilience is an important feature of robots deployed in unstructured and partially unpredictable environments. Herein, a novel dual stiffness (DS) tensegrity platform to integrate collision resilience into a robot body is proposed. The proposed ...

2022

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

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

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

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

Robotic Insertion of Timber Joints using Visual Detection of Fiducial Markers

Yves Weinand, Nicolas Henry Pierre Louis Rogeau

Timber building industry is facing a major transformation with digitalization and automation being more broadly adopted. Prefabricated timber frame structures can be mass-produced on large robotic assembly lines, increasing the productivity and competitive ...

2020

Human-Human, Human-Robot and Robot-Robot Interaction While Walking: Data Analysis, Modelling and Control

Jessica Lanini

In everyday life humans perform many tasks with other partners which involve coordination, involuntary communication and mutual control adaptation, as the case of carrying objects together with another person. Humanoid robots may help with such activities ...

EPFL2019

Nonlinear PD plus sliding mode control with application to a parallel delta robot

Mohamed Bouri

In this paper, a hybrid nonlinear proportional-derivative-sliding mode controller (NPD-SMC) is developed for the trajectory tracking of robot manipulators. The proposed controller combines the advantage of the easy implementation of NPD control and the rob ...

SLOVAK UNIV TECHNOLOGY2018

On the mechanical, cognitive and sociable facets of human compliance and their robotic counterparts

Aude Billard

Compliance has become a key requirement for robots meant to interact with humans. It is viewed as a necessary property to increase safety and efficiency in human-robot cooperative actions. In humans, compliance takes three dimensions: mechanical, cognitive ...

Elsevier2017

Cheetah-cub-S: Steering of a Quadruped Robot using Trunk Motion

Auke Ijspeert, Peter Eckert

A reliable concept for steering was realized by in- tegrating a spine-like structure with one DoF into a quadruped robot - Cheetah-cub-S. We increased maneuverability dramat- ically compared to a robot with rigid spine, while keeping controlling effort low ...

2015

The Role of Environmental and Controller Complexity in the Distributed Optimization of Multi-Robot Obstacle Avoidance

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

The ability to move in complex environments is a fundamental requirement for robots to be a part of our daily lives. Increasing the controller complexity may be a desirable choice in order to obtain an improved performance. However, these two aspects may p ...

2014

Distributed Learning of Cooperative Robotic Behaviors using Particle Swarm Optimization

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

In this paper we study the automatic synthesis of robotic controllers for the coordinated movement of multiple mobile robots. The algorithm used to learn the controllers is a noise-resistant version of Particle Swarm Optimization, which is applied in two d ...

2016

Lessons Learned from Robotic Vacuum Cleaners Entering in the Home Ecosystem

Pierre Dillenbourg, Francesco Mondada, Philippe Rétornaz, Julia Fink, Florian Christopher Vaussard

This article considers the suitability of current robots designed to assist humans in accomplishing their daily domestic tasks. With several million units sold worldwide, robotic vacuum cleaners are currently the figurehead in this field. As such, we will ...

Elsevier2014

Multidirectional transparent support for overground gait training

Joachim von Zitzewitz

Gait and balance training is an essential ingredient for locomotor rehabilitation of patients with neurological impairments. Robotic overhead support systems may help these patients train, for example by relieving them of part of their body weight. However ...

IEEE2013

The Effect of the Environment in the Synthesis of Robotic Controllers: A Case Study in Multi-Robot Obstacle Avoidance using Distributed Particle Swarm Optimization

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

The ability to move in complex environments is a fundamental requirement for robots to be a part of our daily lives. While in simple environments it is usually straightforward for human designers to foresee the different conditions a robot will be exposed ...

MIT Press2013