Alex Szorkovszky,Frank Veenstra,Kyrre Glette
Alex Szorkovszky
While evolutionary robotics can create novel morphologies and controllers that are well-adapted to their environments, learning is still the most efficient way to adapt to changes that occur on shorter time scales. Learning proposals for ev...
Michael J Miles,Harel Biggie,Christoffer Heckman
Michael J Miles
Navigation over torturous terrain such as those in natural subterranean environments presents a significant challenge to field robots. The diversity of hazards, from large boulders to muddy or even partially submerged Earth, eludes complete...
Onur Ozcan,Murat Reis,Surya G Nurzaman
Onur Ozcan
Distributed control for geometric pattern formation of large-scale multirobot systems [0.03%]
大规模多机器人系统几何编队控制算法研究
Andrea Giusti,Gian Carlo Maffettone,Davide Fiore et al.
Andrea Giusti et al.
Introduction: Geometric pattern formation is crucial in many tasks involving large-scale multi-agent systems. Examples include mobile agents performing surveillance, swarms of drones or robots, and smart transportation systems. Currently, m...
Integrating sustainability in the design process of urban service robots [0.03%]
可持续性在城市服务机器人设计过程中的整合
Michel Joop van der Schoor,Dietmar Göhlich
Michel Joop van der Schoor
The concept of sustainability and sustainable development has been well discussed and was subject to many conferences of the EU and UN resulting in agendas, goals, and resolutions. Yet, literature shows that the three dimensions of sustaina...
6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping [0.03%]
6IMPOSE：机器人抓取中6D姿态估计现实差距的桥梁技术
Hongpeng Cao,Lukas Dirnberger,Daniele Bernardini et al.
Hongpeng Cao et al.
6D pose recognition has been a crucial factor in the success of robotic grasping, and recent deep learning based approaches have achieved remarkable results on benchmarks. However, their generalization capabilities in real-world application...
Effect of underactuated parallelogram shape-shifting for environmental adaptation movement of a three modular in-pipe robot [0.03%]
三模块管机器人环境适应性运动的欠驱动平行四边形构型变换方法研究
Atsushi Kakogawa,Shugen Ma
Atsushi Kakogawa
This paper presents an in-pipe robot with three underactuated parallelogram crawler modules, which can automatically shift its body shape when encountering obstacles. The shape-shifting movement is achieved by only a single actuator through...
Should we encourage the use of robotic technologies in complicated diverticulitis? Results of systematic review and meta-analysis [0.03%]
我们应该鼓励使用机器人技术来治疗复杂性憩室炎吗？系统回顾和meta分析的结果
S I Panin,T V Nechay,A V Sazhin et al.
S I Panin et al.
Introduction: Complicated diverticulitis is a common abdominal emergency that often requires a surgical intervention. The systematic review and meta-analysis below compare the benefits and harms of robotic vs. laparoscopic surgery in patien...
Assessing handwriting task difficulty levels through kinematic features: a deep-learning approach [0.03%]
基于深度学习方法的手写任务难度评估研究
Vahan Babushkin,Haneen Alsuradi,Muhammad Hassan Jamil et al.
Vahan Babushkin et al.
Introduction: Handwriting is a complex task that requires coordination of motor, sensory, cognitive, memory, and linguistic skills to master. The extent these processes are involved depends on the complexity of the handwriting task. Evaluat...
Karolina Zawieska,Glenda Hannibal
Karolina Zawieska
This paper focuses on the topic of "everyday life" as it is addressed in Human-Robot Interaction (HRI) research. It starts from the argument that while human daily life with social robots has been increasingly discussed and studied in HRI, ...