Using skeletal position to estimate human error rates in telemanipulator operators [0.03%]
利用骨骼位置估计遥操作人员的人类错误率
Thomas Piercy,Guido Herrmann,Angelo Cangelosi et al.
Thomas Piercy et al.
In current telerobotics and telemanipulator applications, operators must perform a wide variety of tasks, often with a high risk associated with failure. A system designed to generate data-based behavioural estimations using observed operat...
Model-free control for autonomous prevention of adverse events in robotics [0.03%]
自主预防机器人不良事件的无模型控制方法
Meenakshi Narayan,Ann Majewicz Fey
Meenakshi Narayan
Introduction: Preventive control is a critical feature in autonomous technology to ensure safe system operations. One application where safety is most important is robot-assisted needle interventions. During incisions into a tissue, adverse...
Versatile vacuum-powered artificial muscles through replaceable external reinforcements [0.03%]
通过可更换的外部强化实现多功能真空驱动人工肌肉
Mijaíl Jaén Mendoza,Sergio Cancán,Steve Surichaqui et al.
Mijaíl Jaén Mendoza et al.
Soft pneumatic artificial muscles are a well actuation scheme in soft robotics due to its key features for robotic machines being safe, lightweight, and conformable. In this work, we present a versatile vacuum-powered artificial muscle (VPA...
Nicholas Conlon,Nisar Ahmed,Daniel Szafir
Nicholas Conlon
Introduction: Human-robot teams are being called upon to accomplish increasingly complex tasks. During execution, the robot may operate at different levels of autonomy (LOAs), ranging from full robotic autonomy to full human control. For an...
Reactive optimal motion planning for a class of holonomic planar agents using reinforcement learning with provable guarantees [0.03%]
具有可证明保证的强化学习在一类全横贯平面机器人反应最优运动规划中的应用
Panagiotis Rousseas,Charalampos Bechlioulis,Kostas Kyriakopoulos
Panagiotis Rousseas
In control theory, reactive methods have been widely celebrated owing to their success in providing robust, provably convergent solutions to control problems. Even though such methods have long been formulated for motion planning, optimalit...
Exploiting redundancy for UWB anomaly detection in infrastructure-free multi-robot relative localization [0.03%]
利用冗余进行无基础设施多机器人相对定位中的UWB异常检测
Sahar Salimpour,Paola Torrico Morón,Xianjia Yu et al.
Sahar Salimpour et al.
Ultra-wideband (UWB) localization methods have emerged as a cost-effective and accurate solution for GNSS-denied environments. There is a significant amount of previous research in terms of resilience of UWB ranging, with non-line-of-sight ...
The perceptions of university students on technological and ethical risks of using robots in long-term care homes [0.03%]
大学生对在长期护理机构中使用机器人所涉及的技术和伦理风险的看法
Erika Young,Lillian Hung,Joey Wong et al.
Erika Young et al.
Introduction: The COVID-19 pandemic has disproportionately impacted long-term care (LTC) residents and exacerbated residents' risks of social isolation and loneliness. The unmet emotional needs of residents in LTC have driven researchers an...
Development of a remotely controllable 4 m long aerial-hose-type firefighting robot [0.03%]
一种可遥控的四米长空中水管型消防机器人的发展
Yu Yamauchi,Yukihiro Maezawa,Yuichi Ambe et al.
Yu Yamauchi et al.
In a fire outbreak, firefighters are expected to rapidly extinguish fires to stop the spread of damage and prevent secondary disasters. We proposed the concept of a dragon firefighter (DFF), which is a flying-hose-type firefighting robot. W...
Jill A Dosso,Anna Riminchan,Julie M Robillard
Jill A Dosso
As the market for commercial children's social robots grows, manufacturers' claims around the functionality and outcomes of their products have the potential to impact consumer purchasing decisions. In this work, we qualitatively and quanti...
Decomposing user-defined tasks in a reinforcement learning setup using TextWorld [0.03%]
在使用TextWorld的强化学习设置中分解用户定义的任务
Thanos Petsanis,Christoforos Keroglou,Athanasios Ch Kapoutsis et al.
Thanos Petsanis et al.
The current paper proposes a hierarchical reinforcement learning (HRL) method to decompose a complex task into simpler sub-tasks and leverage those to improve the training of an autonomous agent in a simulated environment. For practical rea...