View article: A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS Open
YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. We present a comprehensive analysis of YOLO’s evolution, examining the innovations and contributions in each iter…
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Brave new world: service robots in the frontline Open
Purpose The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with…
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A survey of deep learning techniques for autonomous driving Open
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence (AI). The objective of this paper is to survey the current stat…
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Electronic Skin: Recent Progress and Future Prospects for Skin‐Attachable Devices for Health Monitoring, Robotics, and Prosthetics Open
Recent progress in electronic skin or e‐skin research is broadly reviewed, focusing on technologies needed in three main applications: skin‐attachable electronics, robotics, and prosthetics. First, since e‐skin will be exposed to prolonged…
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Micro/nanorobots for biomedicine: Delivery, surgery, sensing, and detoxification Open
Small robots may solve big challenges in biomedicine, including diagnosis, detoxification, drug delivery, and surgery.
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Learning agile and dynamic motor skills for legged robots Open
A method for learning agile control policies uses simulated data to enable precise, efficient movements in a complex physical robot.
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An Introduction to Deep Reinforcement Learning Open
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision making tasks that were previously out of reach for a machine. T…
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The grand challenges of <i>Science Robotics</i> Open
These 10 grand challenges may have major breakthroughs, research, and/or socioeconomic impacts in the next 5 to 10 years.
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Robot Operating System 2: Design, architecture, and uses in the wild Open
The next chapter of the robotics revolution is well underway with the deployment of robots for a broad range of commercial use cases. Even in a myriad of applications and environments, there exists a common vocabulary of components that ro…
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Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review Open
Although academic production in intelligent automation (e.g. artificial intelligence, robotics) has grown rapidly, we still lack a comprehensive understanding of the impacts of the utilization of these technologies in human resource manage…
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Trends and challenges in robot manipulation Open
Hand it to you Our ability to grab, hold, and manipulate objects involves our dexterous hands, our sense of touch, and feedback from our eyes and muscles that allows us to maintain a controlled grip. Billard and Kragic review the progress …
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Soft Robotic Grippers for Biological Sampling on Deep Reefs Open
This article presents the development of an underwater gripper that utilizes soft robotics technology to delicately manipulate and sample fragile species on the deep reef. Existing solutions for deep sea robotic manipulation have historica…
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Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges Open
Las nuevas tecnologías y en especial la IA, se han venido impulsando el cambio y transformación en múltiples mercados, y su impacto en el sector de la construcción tiene el potencial de optimizar los procesos, impulsar la innovación y gene…
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Soft Robotics Open
This description of “soft robotics” is not intended to be a conventional review, in the sense of a comprehensive technical summary of a developing field. Rather, its objective is to describe soft robotics as a new field—one that offers opp…
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A Brief Survey of Deep Reinforcement Learning Open
Deep reinforcement learning is poised to revolutionise the field of AI and represents a step towards building autonomous systems with a higher level understanding of the visual world. Currently, deep learning is enabling reinforcement lear…
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A review of mobile robots: Concepts, methods, theoretical framework, and applications Open
Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great examples of mobile robots. They can be distinguished from other robots by their ability to move autonomously, with enough intelligence to react and make deci…
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Toward Perceptive Soft Robots: Progress and Challenges Open
In the past few years, soft robotics has rapidly become an emerging research topic, opening new possibilities for addressing real‐world tasks. Perception can enable robots to effectively explore the unknown world, and interact safely with …
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Visual SLAM algorithms: a survey from 2010 to 2016 Open
SLAM is an abbreviation for simultaneous localization and mapping, which is a technique for estimating sensor motion and reconstructing structure in an unknown environment. Especially, Simultaneous Localization and Mapping (SLAM) using cam…
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Recent Advances in Robot Learning from Demonstration Open
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in which robots acquire new skills by learning to imitate an expert. The choice of LfD over other robot learning methods is compelling when ideal …
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INDUSTRY 4.0: A REVIEW ON INDUSTRIAL AUTOMATION AND ROBOTIC Open
Industry 4.0 is the fourth industrial revolution that was first introduced in Germany. This paper presents a review on the advances of robotic and automation technology in achieving industry 4.0. Many companies, research centers, and unive…
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Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Open
Designing agile locomotion for quadruped robots often requires extensive expertise and tedious manual tuning.In this paper, we present a system to automate this process by leveraging deep reinforcement learning techniques.Our system can le…
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Learning robust perceptive locomotion for quadrupedal robots in the wild Open
Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into underexplored areas. Exteroceptive perception is crucial for fast and energy-efficient locomotion: Pe…
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An autonomous laboratory for the accelerated synthesis of novel materials Open
To close the gap between the rates of computational screening and experimental realization of novel materials 1,2 , we introduce the A-Lab, an autonomous laboratory for the solid-state synthesis of inorganic powders. This platform uses com…
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Shape-programmable magnetic soft matter Open
Significance At small scales, shape-programmable magnetic materials have significant potential to achieve mechanical functionalities that are unattainable by traditional miniature machines. Unfortunately, these materials have only been pro…
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Control Strategies for Soft Robotic Manipulators: A Survey Open
With the rise of soft robotics technology and applications, there have been increasing interests in the development of controllers appropriate for their particular design. Being fundamentally different from traditional rigid robots, there …
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Human–Robot Collaboration in Manufacturing Applications: A Review Open
This paper provides an overview of collaborative robotics towards manufacturing applications. Over the last decade, the market has seen the introduction of a new category of robots—collaborative robots (or “cobots”)—designed to physically …
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Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Open
The last half decade has seen a steep rise in the number of contributions on safe learning methods for real-world robotic deployments from both the control and reinforcement learning communities. This article provides a concise but holisti…
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Soft Manipulators and Grippers: A Review Open
Soft robotics is a growing area of research which utilizes the compliance and adaptability of soft structures to develop highly adaptive robotics for soft interactions. One area in which soft robotics has the ability to make significant im…
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A Mass-Produced Sociable Humanoid Robot: Pepper: The First Machine of Its Kind Open
As robotics technology evolves, we believe that personal social robots will be one of the next big expansions in the robotics sector. Based on the accelerated advances in this multidisciplinary domain and the growing number of use cases, w…
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Combating COVID-19—The role of robotics in managing public health and infectious diseases Open
COVID-19 may drive sustained research in robotics to address risks of infectious diseases.