Enhanced accuracy with Segmentation of Colorectal Polyp using NanoNetB, and Conditional Random Field Test-Time Augmentation [0.03%]
基于NanoNetB和条件随机场测试时间数据增强的结直肠息肉分割精度提升方法
Muhammad Sajjad Hussain,Umer Asgher,Sajid Nisar et al.
Muhammad Sajjad Hussain et al.
Colonoscopy is a reliable diagnostic method to detect colorectal polyps early on and prevent colorectal cancer. The current examination techniques face a significant challenge of high missed rates, resulting in numerous undetected polyps an...
Do you wanna dance? Tales of trust and driving trust factors in robot medication counseling in the pharmacy context [0.03%]
你愿意共舞吗？ Pharmacy情境下机器人药学咨询的可信度及影响因素分析故事
Susanne Hägglund,Malin Andtfolk,Sara Rosenberg et al.
Susanne Hägglund et al.
Introduction: The sustainable implementation of socially assistive robots in a pharmacy setting requires that customers trust the robot. Our aim was to explore young adults' anticipations of and motives for trusting robot medication counsel...
Angella Volchko,Shane K Mitchell,Tyler G Scripps et al.
Angella Volchko et al.
This article introduces a model-based robust control framework for electrohydraulic soft robots. The methods presented herein exploit linear system control theory as it applies to a nonlinear soft robotic system. We employ dynamic mode deco...
Composable and executable scenarios for simulation-based testing of mobile robots [0.03%]
基于仿真的移动机器人测试中的可组合和可执行场景研究
Argentina Ortega,Samuel Parra,Sven Schneider et al.
Argentina Ortega et al.
Few mobile robot developers already test their software on simulated robots in virtual environments or sceneries. However, the majority still shy away from simulation-based test campaigns because it remains challenging to specify and execut...
Hierarchical path planning from speech instructions with spatial concept-based topometric semantic mapping [0.03%]
基于空间概念的拓扑语义地图的分层路径规划与语音指令理解
Akira Taniguchi,Shuya Ito,Tadahiro Taniguchi
Akira Taniguchi
Assisting individuals in their daily activities through autonomous mobile robots is a significant concern, especially for users without specialized knowledge. Specifically, the capability of a robot to navigate to destinations based on huma...
Investigating the performance of soft robotic adaptive feet with longitudinal and transverse arches [0.03%]
具有纵向和横向弓形的软体机器人自适应足部性能研究
Anna Pace,Giorgio Grioli,Alice Ghezzi et al.
Anna Pace et al.
Biped robots usually adopt feet with a rigid structure that simplifies walking on flat grounds and yet hinders ground adaptation in unstructured environments, thus jeopardizing stability. We recently explored in the SoftFoot the idea of ada...
Hyo Jeong Lym,Hyo In Son,Da-Young Kim et al.
Hyo Jeong Lym et al.
The home robot-based child activity service aims to cultivate children's social emotions. A design theme was produced by interviewing child development experts and parents. The activity service is composed of 50 plays and 70 conversations. ...
SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents [0.03%]
基于自主代理的节能本体脉冲神经网络开发框架
Rachmad Vidya Wicaksana Putra,Alberto Marchisio,Muhammad Shafique
Rachmad Vidya Wicaksana Putra
Recent trends have shown that autonomous agents, such as Autonomous Ground Vehicles (AGVs), Unmanned Aerial Vehicles (UAVs), and mobile robots, effectively improve human productivity in solving diverse tasks. However, since these agents are...
Adaptive satellite attitude control for varying masses using deep reinforcement learning [0.03%]
基于深度强化学习的变质量卫星自适应姿态控制方法研究
Wiebke Retagne,Jonas Dauer,Günther Waxenegger-Wilfing
Wiebke Retagne
Traditional spacecraft attitude control often relies heavily on the dimension and mass information of the spacecraft. In active debris removal scenarios, these characteristics cannot be known beforehand because the debris can take any shape...
Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference [0.03%]
集体预测编码假说：符号的产生作为分散式贝叶斯推理
Tadahiro Taniguchi
Tadahiro Taniguchi
Understanding the emergence of symbol systems, especially language, requires the construction of a computational model that reproduces both the developmental learning process in everyday life and the evolutionary dynamics of symbol emergenc...