Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Duriez, Christian"'
Autor:
Ménager, Etienne, Duriez, Christian
Publikováno v:
IEEE International Conference on Soft Robotics (RoboSoft), IEEE, Apr 2024, San Diego (CA), United States
The ability of a soft robot to perform specific tasks is determined by its contact configuration, and transitioning between configurations is often necessary to reach a desired position or manipulate an object. Based on this observation, we propose a
Externí odkaz:
http://arxiv.org/abs/2402.13649
Autor:
Tian, Sizhe, Cangan, Barnabas Gavin, Navarro, Stefan Escaida, Beger, Artem, Duriez, Christian, Katzschmann, Robert K.
We address the challenge of reliable and accurate proprioception in soft robots, specifically those with tight packaging constraints and relying only on internally embedded sensors. While various sensing approaches with single sensors have been tried
Externí odkaz:
http://arxiv.org/abs/2311.14566
Soft robots are naturally designed to perform safe interactions with their environment, like locomotion and manipulation. In the literature, there are now many concepts, often bio-inspired, to propose new modes of locomotion or grasping. However, a m
Externí odkaz:
http://arxiv.org/abs/2310.17029
Publikováno v:
2023 IEEE International Conference on Robotics and Automation (ICRA)
The Finite Element Method (FEM) is a powerful modeling tool for predicting the behavior of soft robots. However, its use for control can be difficult for non-specialists of numerical computation: it requires an optimization of the computation to make
Externí odkaz:
http://arxiv.org/abs/2307.11408
In this paper, we introduce a novel open source toolbox for design optimization in Soft Robotics. We consider that design optimization is an important trend in Soft Robotics that is changing the way in which designs will be shared and adopted. We eva
Externí odkaz:
http://arxiv.org/abs/2304.07260
Model-Based Disturbance Estimation for a Fiber-Reinforced Soft Manipulator using Orientation Sensing
Autor:
Cangan, Barnabas Gavin, Navarro, Stefan Escaida, Yang, Bai, Zhang, Yu, Duriez, Christian, Katzschmann, Robert K.
For soft robots to work effectively in human-centered environments, they need to be able to estimate their state and external interactions based on (proprioceptive) sensors. Estimating disturbances allows a soft robot to perform desirable force contr
Externí odkaz:
http://arxiv.org/abs/2206.11626
The robotics community has seen an exponential growth in the level of complexity of the theoretical tools presented for the modeling of soft robotics devices. Different solutions have been presented to overcome the difficulties related to the modelin
Externí odkaz:
http://arxiv.org/abs/2112.03645
Continuum soft robots are mechanical systems entirely made of continuously deformable elements. This design solution aims to bring robots closer to invertebrate animals and soft appendices of vertebrate animals (e.g., an elephant's trunk, a monkey's
Externí odkaz:
http://arxiv.org/abs/2110.01358
Autor:
Navarro, Stefan Escaida, Mühlbacher-Karrer, Stephan, Alagi, Hosam, Zangl, Hubert, Koyama, Keisuke, Hein, Björn, Duriez, Christian, Smith, Joshua R.
Publikováno v:
IEEE Transactions on Robotics 2021
Proximity perception is a technology that has the potential to play an essential role in the future of robotics. It can fulfill the promise of safe, robust, and autonomous systems in industry and everyday life, alongside humans, as well as in remote
Externí odkaz:
http://arxiv.org/abs/2108.07206
Publikováno v:
In Journal of Nuclear Materials October 2022 569
