Would you be impressed: applying principles of magic to chatbot conversations [0.03%]
你会对此印象深刻吗？将魔术原理应用于聊天机器人对话中
Sarah Rose Siskind,Eric Nichols,Randy Gomez
Sarah Rose Siskind
A magician's trick and a chatbot conversation have something in common: most of their audiences do not know how they work. Both are also constrained by their own limitations: magicians by the constraints of biology and physics, and dialogue...
Giuseppe Cotugno,Rafael Afonso Rodrigues,Graham Deacon et al.
Giuseppe Cotugno et al.
As the area of robotics achieves promising results, there is an increasing need to scale robotic software architectures towards real-world domains. Traditionally, robotic architectures are integrated using common frameworks, such as ROS. Th...
Anastasia K Ostrowski,Jenny Zhang,Cynthia Breazeal et al.
Anastasia K Ostrowski et al.
Introduction: Older adults are engaging more and more with voice-based agent and social robot technologies, and roboticists are increasingly designing interactions for these systems with older adults in mind. Older adults are often not incl...
Soft bioreactor systems: a necessary step toward engineered MSK soft tissue? [0.03%]
软生物反应器系统：工程化肌肉骨骼软组织的必要步骤？
Nicole Dvorak,Zekun Liu,Pierre-Alexis Mouthuy
Nicole Dvorak
A key objective of tissue engineering (TE) is to produce in vitro funcional grafts that can replace damaged tissues or organs in patients. TE uses bioreactors, which are controlled environments, allowing the application of physical and bioc...
Eugene R Rush,Christoffer Heckman,Kaushik Jayaram et al.
Eugene R Rush et al.
Legged robot control has improved in recent years with the rise of deep reinforcement learning, however, much of the underlying neural mechanisms remain difficult to interpret. Our aim is to leverage bio-inspired methods from computational ...
Recruiting neural field theory for data augmentation in a motor imagery brain-computer interface [0.03%]
基于运动想象脑-机接口的神经场理论数据增强方法研究
Daniel Polyakov,Peter A Robinson,Eli J Muller et al.
Daniel Polyakov et al.
We introduce a novel approach to training data augmentation in brain-computer interfaces (BCIs) using neural field theory (NFT) applied to EEG data from motor imagery tasks. BCIs often suffer from limited accuracy due to a limited amount of...
Human-in-the-loop error detection in an object organization task with a social robot [0.03%]
人机交互中的错误检测在基于对象组织的任务中与社交机器人一起工作
Helena Anna Frijns,Matthias Hirschmanner,Barbara Sienkiewicz et al.
Helena Anna Frijns et al.
In human-robot collaboration, failures are bound to occur. A thorough understanding of potential errors is necessary so that robotic system designers can develop systems that remedy failure cases. In this work, we study failures that occur ...
Decentralized multi-agent reinforcement learning based on best-response policies [0.03%]
基于最佳响应策略的分散式多智能体强化学习
Volker Gabler,Dirk Wollherr
Volker Gabler
Introduction: Multi-agent systems are an interdisciplinary research field that describes the concept of multiple decisive individuals interacting with a usually partially observable environment. Given the recent advances in single-agent rei...
Solomon Pekris,Robert D Williams,Thibaud Atkins et al.
Solomon Pekris et al.
Introduction: Compliant mechanisms, especially continuum robots, are becoming integral to advancements in minimally invasive surgery due to their ability to autonomously navigate natural pathways, significantly reducing collision severity. ...
A review of visual SLAM for robotics: evolution, properties, and future applications [0.03%]
机器人视觉SLAM研究：发展、属性及未来应用展望
Basheer Al-Tawil,Thorsten Hempel,Ahmed Abdelrahman et al.
Basheer Al-Tawil et al.
Visual simultaneous localization and mapping (V-SLAM) plays a crucial role in the field of robotic systems, especially for interactive and collaborative mobile robots. The growing reliance on robotics has increased complexity in task execut...