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[HTML][HTML] Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities and challenges
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …
Integrated actuation and sensing: Toward intelligent soft robots
Soft robotics has received substantial attention due to its remarkable deformability, making it
well-suited for a wide range of applications in complex environments, such as medicine …
well-suited for a wide range of applications in complex environments, such as medicine …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Partially observable markov decision processes in robotics: A survey
Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
Soft robots modeling: A structured overview
The robotics community has seen an exponential growth in the level of complexity of the
theoretical tools presented for the modeling of soft robotics devices. Different solutions have …
theoretical tools presented for the modeling of soft robotics devices. Different solutions have …
A concise guide to modelling the physics of embodied intelligence in soft robotics
Embodied intelligence (intelligence that requires and leverages a physical body) is a well-
known paradigm in soft robotics, but its mathematical description and consequent …
known paradigm in soft robotics, but its mathematical description and consequent …
[HTML][HTML] A review of 4D printing–technologies, shape shifting, smart polymer based materials, and biomedical applications
Additive Manufacturing (AM) has been a noticeable technology and made significant
progress since the late 1980s. Despite the tremendous growth, this technology is still facing …
progress since the late 1980s. Despite the tremendous growth, this technology is still facing …
Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications
Soft electromechanical sensors have led to a new paradigm of electronic devices for novel
motion-based wearable applications in our daily lives. However, the vast amount of random …
motion-based wearable applications in our daily lives. However, the vast amount of random …
Smart data processing for energy harvesting systems using artificial intelligence
Recent substantial advancements in computational techniques, particularly in artificial
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …
A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …