Aeroelastics-aware compensation system for soft aerial vehicle stabilization [0.03%]
用于软飞行器稳定性的气动弹性感知补偿系统
Fernando Ruiz,Begoña C Arrue,Aníbal Ollero
Fernando Ruiz
This paper describes a compensation system for soft aerial vehicle stabilization. Balancing the arms is one of the main challenges of soft UAVs since the propeller is freely tilting together with the flexible arm. In comparison with previou...
State-transfer modeling collective behavior of multi-ball Bernoulli system based on local interaction forces [0.03%]
基于局部相互作用力的多球伯努利系统集体行为的状态传输模型研究
Fan Ye,Arsen Abdulali,Fumiya Iida
Fan Ye
Collective behavior observed in nature has been actively employed in swarm robotics. In order to better respond to external cues, the agents in such systems organize themselves in an ordered structure based on simple local rules. The centra...
Active-sensing-based decentralized control of autonomous mobile agents for quick and smooth collision avoidance [0.03%]
基于主动感知的自主移动代理的分散式控制以实现快速平稳的碰撞避免
Takeshi Kano,Takeru Kanno,Taishi Mikami et al.
Takeshi Kano et al.
There is an increasing demand for multi-agent systems in which each mobile agent, such as a robot in a warehouse or a flying drone, moves toward its destination while avoiding other agents. Although several control schemes for collision avo...
Edoardo Milana
Edoardo Milana
The paradigm change introduced by soft robotics is going to dramatically push forward the abilities of autonomous systems in the next future, enabling their applications in extremely challenging scenarios. The ability of soft robots to safe...
NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints [0.03%]
NN-多项式：用泰勒多项式近似常见的神经网络以赋予动力系统约束条件
Frances Zhu,Dongheng Jing,Frederick Leve et al.
Frances Zhu et al.
Recent advances in deep learning have bolstered our ability to forecast the evolution of dynamical systems, but common neural networks do not adhere to physical laws, critical information that could lead to sounder state predictions. This c...
Zameer Hussain Shah,Bingzhi Wu,Sambeeta Das
Zameer Hussain Shah
Untethered robots of the size of a few microns have attracted increasing attention for the potential to transform many aspects of manufacturing, medicine, health care, and bioengineering. Previously impenetrable environments have become ava...
Benchmarking the utility of maps of dynamics for human-aware motion planning [0.03%]
用于人类意识运动规划的动力学地图的效用评估
Chittaranjan Srinivas Swaminathan,Tomasz Piotr Kucner,Martin Magnusson et al.
Chittaranjan Srinivas Swaminathan et al.
Robots operating with humans in highly dynamic environments need not only react to moving persons and objects but also to anticipate and adhere to patterns of motion of dynamic agents in their environment. Currently, robotic systems use inf...
Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment [0.03%]
手术器械检测与追踪技术：用于手术技能评估的自动数据集标记
Shubhangi Nema,Leena Vachhani
Shubhangi Nema
Surgical skills can be improved by continuous surgical training and feedback, thus reducing adverse outcomes while performing an intervention. With the advent of new technologies, researchers now have the tools to analyze surgical instrumen...
Erratum: A minimally invasive approach towards "ecosystem hacking" with honeybees [0.03%]
勘误：以一种最少介入的方式用蜂蜜实现“生态系统黑进”
Frontiers Production Office
Frontiers Production Office
[This corrects the article DOI: 10.3389/frobt.2022.791921.]. Keywords: ecosystem hacking; honeybees; micro-r...
Published Erratum
Frontiers in robotics and AI. 2022 Nov 2:9:1058324. DOI:10.3389/frobt.2022.1058324 2022
Safely catching aerial micro-robots in mid-air using an open-source aerial robot with soft gripper [0.03%]
使用带有软夹爪的开源飞行机器人在空中安全地捕捉空中的微小型机器人
Zhichao Liu,Caio Mucchiani,Keran Ye et al.
Zhichao Liu et al.
This work focuses on catching safely an aerial micro-robot in mid-air using another aerial robot that is equipped with a universal soft gripper. To avoid aerodynamic disturbances such as downwash, that would push the target robot away, we f...