Sven Schneider,Nico Hochgeschwender,Herman Bruyninckx
Sven Schneider
This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific computational building blocks that prevent ...
Socially interactive industrial robots: a PAD model of flow for emotional co-regulation [0.03%]
社交互动型工业机器人：情感共调节的流体验PAD模型
Fabrizio Nunnari,Dimitra Tsovaltzi,Matteo Lavit Nicora et al.
Fabrizio Nunnari et al.
This article presents the development of a socially interactive industrial robot. An Avatar is used to embody a cobot for collaborative industrial assembly tasks. The embodied covatar (cobot plus its avatar) is introduced to support Flow ex...
Vision-based manipulation of transparent plastic bags in industrial setups [0.03%]
基于视觉的透明塑料袋工件操纵方法研究
F Adetunji,A Karukayil,P Samant et al.
F Adetunji et al.
Introduction: This paper addresses the challenges of vision-based manipulation for autonomous cutting and unpacking of transparent plastic bags in industrial setups, contributing to the Industry 4.0 paradigm. Industry 4.0...
Carlos Rossa,Xiaojun Chen,Troy McDaniel et al.
Carlos Rossa et al.
Editorial: Latest trends in bio-inspired medical robotics: structural design, manufacturing, sensing, actuation and control [0.03%]
评论：生物医学机器人的最新趋势：结构设计、制造、感应、驱动与控制
Yilun Sun,Houde Dai,Shuang Song et al.
Yilun Sun et al.
Global progress in competitive co-evolution: a systematic comparison of alternative methods [0.03%]
竞争协同进化中的全局进展：一种系统比较的替代方法
Stefano Nolfi,Paolo Pagliuca
Stefano Nolfi
The usage of broad sets of training data is paramount to evolve adaptive agents. In this respect, competitive co-evolution is a widespread technique in which the coexistence of different learning agents fosters adaptation, which in turn mak...
Gal A Kaminka,Yinon Douchan
Gal A Kaminka
Introduction: Inspired by natural phenomena, generations of researchers have been investigating how a swarm of robots can act coherently and purposefully, when individual robots can only sense and communicate with nearby ...
Thomas Barbier,Céline Teulière,Jochen Triesch
Thomas Barbier
Biological vision systems simultaneously learn to efficiently encode their visual inputs and to control the movements of their eyes based on the visual input they sample. This autonomous joint learning of visual representations and actions ...
Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data [0.03%]
基于嵌入的对生成在音频视觉监视数据中的对比表示学习中对生成
Wei-Cheng Wang,Sander De Coninck,Sam Leroux et al.
Wei-Cheng Wang et al.
Smart cities deploy various sensors such as microphones and RGB cameras to collect data to improve the safety and comfort of the citizens. As data annotation is expensive, self-supervised methods such as contrastive learning are used to lea...
Advanced robotics for automated EV battery testing using electrochemical impedance spectroscopy [0.03%]
基于电化学阻抗谱的电动汽车电池自动化检测的先进机器人技术
Alireza Rastegarpanah,Cesar Alan Contreras,Mohamed Ahmeid et al.
Alireza Rastegarpanah et al.
Introduction: The transition to electric vehicles (EVs) has highlighted the need for efficient diagnostic methods to assess the state of health (SoH) of lithium-ion batteries (LIBs) at the end of their life cycle. Electro...