Publications associées à Experimental assessment, design, and control of compliance in dexterous robotic hands

Publications associées (18)

A data-efficient and general-purpose hand–eye calibration method for robotic systems using next best view

Calibration between robots and cameras is critical in automated robot vision systems. However, conventional manually conducted image-based calibration techniques are often limited by their accuracy sensitivity and poor adaptability to dynamic or unstructur ...

2025

DiffCheck: A scan-CAD evaluation tool for digital manufacturing and assembly processes in timber construction

Yves Weinand, Julien Gamerro, Stefana Parascho, Andrea Settimi, Marianthi Eririni Kladeftira, Eleni Maria Skevaki, Damien Lambert Alain Félicien Gilliard

In digital timber construction, scanning technologies and point cloud data are widely used due to the accessibility of affordable 3D sensors, photogrammetry, and userfriendly CAD tools. While typically not employed for accuracy checks in timber fabrication ...

CRC Press2025

Rearranging Deformable Linear Objects for Implicit Goals with Self-Supervised Planning and Control

Luyin Hu

The robotic manipulation of deformable linear objects is a frontier problem with many potential applications in diverse industries. However, most existing research in this area focuses on shape control for a provided explicit goal and does not consider phy ...

2024

Enabling Faster Locomotion of Planetary Rovers With a Mechanically-Hybrid Suspension

David Rodriguez Martinez

The exploration of the lunar poles and the collection of samples from the martian surface are characterized by shorter time windows demanding increased autonomy and speeds. Autonomous mobile robots must intrinsically cope with a wider range of disturbances ...

2024

Identifying important sensory feedback for learning locomotion skills

Auke Ijspeert, Guillaume Denis Antoine Bellegarda, Milad Shafiee Ashtiani

Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

NATURE PORTFOLIO2023

Human-machine interface for two-dimensional steering control with the auricular muscles

Daniel Jose Lins Leal Pinheiro, Silvestro Micera, Solaiman Shokur

Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

FRONTIERS MEDIA SA2023

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

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

Pierre Dillenbourg, 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

Advancing the Adaptability of Compliant Robot Controllers for Exploration, Interaction, and Manipulation

Farshad Khadivar

As technology continues to evolve, robots are becoming an intrinsic part of our lives. While robots surpass human capabilities in precision and speed, they are far from matching humans' ability to adapt to unexpected changes. Humans can quickly and complia ...

EPFL2022

Design considerations for robotically assembled through-tenon timber joints

Yves Weinand, Julien Gamerro, Nicolas Henry Pierre Louis Rogeau

This research investigates the robotic assembly of timber structures connected by wood–wood connections. As the digitization of the timber construction sector progresses, digital tools, such as industrial robotic arms and Computer Numerical Control machine ...

2022

An Enhanced Adaptive Time Delay Control-Based Integral Sliding Mode for Trajectory Tracking of Robot Manipulators

Mohamed Bouri

This article proposes an enhanced adaptive time delay controller (ATDC) for robot manipulators subjected to external disturbances. This approach is model-free and uses time delay estimation (TDE) to estimate complex and unknown robot dynamics. First, to re ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Locally active globally stable dynamical systems: Theory, learning, and experiments

Aude Billard, Nadia Barbara Figueroa Fernandez

State-dependent dynamical systems (DSs) offer adaptivity, reactivity, and robustness to perturbations in motion planning and physical human-robot interaction tasks. Learning DS-based motion plans from non-linear reference trajectories is an active research ...

SAGE PUBLICATIONS LTD2022

Hybrid Wireless-Local Communication via Information Propagation for Modular Robotic Synchronization Applications

Jamie Paik, Christoph Heinrich Belke, Kevin Andrew Holdcroft

Modular robots hold promise of adaptability, robustness, and versatility. Synchronization of modules is critical; if a module is asynchronous, not only will the robot fail to perform tasks properly, but its behavior may be self-destructive through self-col ...

WILEY2022

On the Scalability of Vision-based Drone Swarms in the Presence of Occlusions

Dario Floreano, Fabian Maximilian Schilling, Enrica Soria

Vision-based drone swarms have recently emerged as a promising alternative to address the fault-tolerance and flexibility limitations of centralized and communication-based aerial collective systems. Although most vision-based control algorithms rely on th ...

2022

Opinion Formation over Adaptive Networks

Virginia Bordignon

An adaptive network consists of multiple communicating agents, equipped with sensing and learning abilities that allow them to extract meaningful information from measurements. The objective of the network is to solve a global inference problem in a decent ...

EPFL2022

Real-Time Self-Collision Avoidance in Joint Space for Humanoid Robots

Aude Billard, Nadia Barbara Figueroa Fernandez, Mikhail Koptev

In this letter, we propose a real-time self-collision avoidance approach for whole-body humanoid robot control. To achieve this, we learn the feasible regions of control in the humanoid's joint space as smooth self-collision boundary functions. Collision-f ...

2021

10 Years of Human-NAO Interaction Research: A Scoping Review

Elmira Yadollahi

The evolving field of human-robot interaction (HRI) necessitates that we better understand how social robots operate and interact with humans. This scoping review provides an overview of about 300 research works focusing on the use of the NAO robot from 20 ...

FRONTIERS MEDIA SA2021

Precision control of miniature SCARA robots for multi-object spectrographs

Jean-Paul Richard Kneib, Mohamed Bouri, Luzius Gregor Kronig, Ricardo Jorge Araùjo Pereira, Loïc Grossen, Stefane Costa Caseiro

Advances in astronomy led to the demand for measuring the spectra of multiple night sky objects simultaneously. Some of these Multi-Object Spectrographs use robotic systems that position optical fibers in the focal plane of the observing telescope. These s ...

2020