Real-Time Avoidance of Ionising Radiation Using Layered Costmaps for Mobile Robots [0.03%]
基于分层代价格的地图的移动机器人实时辐射规避方法研究
Andrew West,Thomas Wright,Ioannis Tsitsimpelis et al.
Andrew West et al.
Humans in hazardous environments take actions to reduce unnecessary risk, including limiting exposure to radioactive materials where ionising radiation can be a threat to human health. Robots can adopt the same approach of risk avoidance to...
DeepClaw 2.0: A Data Collection Platform for Learning Human Manipulation [0.03%]
DeepClaw 2.0：一种学习人类操作的数据收集平台
Haokun Wang,Xiaobo Liu,Nuofan Qiu et al.
Haokun Wang et al.
Besides direct interaction, human hands are also skilled at using tools to manipulate objects for typical life and work tasks. This paper proposes DeepClaw 2.0 as a low-cost, open-sourced data collection platform for learning human manipula...
Morphing-Enabled Path Planning for Flying Tensegrity Robots as a Semidefinite Program [0.03%]
基于半定规划的飞行张拉整体机器人变形容许路径规划方法研究
Sergei Savin,Alexandr Klimchik
Sergei Savin
The development of deformable drones is of high importance but presents significant challenges. Such drones can be based on tensegrity structures, which leaves open the questions of configuration-space path planning for such robots. In this...
Novelty Experience in Prolonged Interaction: A Qualitative Study of Socially-Isolated College Students' In-Home Use of a Robot Companion Animal [0.03%]
一种新型体验：关于社会孤立的大学生在家使用机器人伴侣动物的质性研究
Bryan Abendschein,Autumn Edwards,Chad Edwards
Bryan Abendschein
Social distancing policies such as limits on public gatherings and contact with others were utilized around the world to slow the spread of COVID-19. Yet, decreased social interactions may also threaten people's well-being. In this project,...
Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement [0.03%]
前方有危机吗？关于人机交互用户研究可能具有难以再现性的问题以及改进建议的方向
Benedikt Leichtmann,Verena Nitsch,Martina Mara
Benedikt Leichtmann
There is a confidence crisis in many scientific disciplines, in particular disciplines researching human behavior, as many effects of original experiments have not been replicated successfully in large-scale replication studies. While human...
Mind Your Manners! A Dataset and a Continual Learning Approach for Assessing Social Appropriateness of Robot Actions [0.03%]
谨言慎行！一个关于评估机器人行为社会适宜性的数据集和连续学习方法
Jonas Tjomsland,Sinan Kalkan,Hatice Gunes
Jonas Tjomsland
To date, endowing robots with an ability to assess social appropriateness of their actions has not been possible. This has been mainly due to (i) the lack of relevant and labelled data and (ii) the lack of formulations of this as a lifelong...
Diversity Training With Robots: Perspective-Taking Backfires, While Sterotype-Suppression Decreases Negative Attitudes Towards Robots [0.03%]
机器人多样性培训：移情训练事倍功半，抑制刻板印象减少人们负面观感
Ricarda Wullenkord,Friederike Eyssel
Ricarda Wullenkord
The present research investigated the effects of a diversity training intervention on robot-related attitudes to test whether this could help to manage the diversity inherent in hybrid human-robot teams in the work context. Previous researc...
"Sequencing Matters": Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy [0.03%]
“顺序很重要”：探究机器人辅助自闭症治疗中的适宜行动序列
Kim Baraka,Marta Couto,Francisco S Melo et al.
Kim Baraka et al.
Social robots have been shown to be promising tools for delivering therapeutic tasks for children with Autism Spectrum Disorder (ASD). However, their efficacy is currently limited by a lack of flexibility of the robot's social behavior to s...
Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty [0.03%]
基于人工智能的全膝关节置换术的个性化手术规划算法
Adriaan Lambrechts,Roel Wirix-Speetjens,Frederik Maes et al.
Adriaan Lambrechts et al.
Previous studies have shown that the manufacturer's default preoperative plans for total knee arthroplasty with patient-specific guides require frequent, time-consuming changes by the surgeon. Currently, no research has been done on predict...
A Project Based Learning Approach for Improving Students' Computational Thinking Skills [0.03%]
基于项目的教学方法在提高学生计算思维技能方面的效果研究
Francesca Bertacchini,Carmelo Scuro,Pietro Pantano et al.
Francesca Bertacchini et al.
An educational robotics lab has been planned for undergraduate students in an Electronic Engineering degree, using the Project Based Learning (PBL) approach and the NAO robot. Students worked in a research context, with the aim of making th...