Academic Articles & Research Papers

Stochastic brain dynamics exhibits differential regional distribution and maturation-related changes

Functional magnetic resonance imaging (fMRI) is a powerful non-invasive method for studying brain function by analyzing blood oxygenation level-dependent (BOLD) signals. These signals arise from intricate interplays of deterministic and sto...

Soft Robotic Grippers

Advances in soft robotics, materials science, and stretchable electronics have enabled rapid progress in soft grippers. Here, a critical overview of soft robotic grippers is presented, covering different material sets, physical principles, ...

An Efficient Stochastic Constrained Path Planner for Redundant Manipulators

This brief proposes a novel stochastic method that exploits the particular kinematics of mechanisms with redundant actuation and a well-known manipulability measure to track the desired end-effector task-space motion in an efficient manner....

YOLOv11n-GrapeLite: A Lightweight Multi-Variety Grape Recognition Model

To address the challenges of rapid and accurate grape variety identification in natural orchard environments, along with the demand for efficient deployment on mobile devices, we propose in this paper YOLOv11n-GrapeLite, a lightweight model...

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study

Abstract BackgroundArtificial intelligence (AI) systems are becoming increasingly relevant in everyday clinical practice, with Food and Drug Administration–approved AI solutions now available in many specialties. This developmen...

Computation offloading and information freshness in edge-assisted networked robotic systems

Camera-based wireless networked control systems must move visual information across a shared wireless link before a command can be applied, so the placement of the perception computation fixes both the communication load and the freshness o...

I Can See It in Your Eyes: Gaze as an Implicit Cue of Uncanniness and Task Performance in Repeated Interactions With Robots

Over the past years, extensive research has been dedicated to developing robust platforms and data-driven dialog models to support long-term human-robot interactions. However, little is known about how people's perception of robots and enga...

Benchmarking spiking neurons for linear quadratic regulator control of multi-linked pole on a cart: from single neuron to ensemble

The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network complexity and optimize the number of neurons per core and hence...

Autonomous Collision Avoidance at Sea: A Survey

In this survey, results from an investigation on collision avoidance and path planning methods developed in recent research are provided. In particular, existing methods based on Artificial Intelligence, data-driven methods based on Machine...

Marine Robots Mapping the Present and the Past: Unraveling the Secrets of the Deep

Underwater cultural heritage sites are subject to constant change, whether due to natural forces such as sediments, waves, currents or human intervention. Until a few decades ago, the documentation and research of these sites was mostly don...

Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy

Anthropomorphism and Human Likeness in the Design of Robots and Human-Robot Interaction

Service Robots and Robotics

Service robots serve a wide range of people in residential, commercial, industrial, military, and many more applied fields. Service Robots and Robotics: Design and Application offers the latest research within the field, combining a mixture...

Bearing Fault Analysis of BLDC Motor for Electric Scooter Application

In this paper, the bearing faults analysis of the brushless DC motor is presented. The research method is based on the analysis of the vibration signal of healthy as well as faulty bearings by the identification of specific frequencies on t...

Multi-channel transorbital electrical stimulation for effective stimulation of posterior retina

Abstract Transorbital electrical stimulation (tES) has been studied as a new noninvasive method for treating intractable eye diseases by delivering weak electrical current to the eye through a pair of electrodes attached to the skin around ...

Iterative Learning Method for In-Flight Auto-Tuning of UAV Controllers Based on Basic Sensory Information

With an increasing number of multirotor unmanned aerial vehicles (UAVs), solutions supporting the improvement in their precision of operation and safety of autonomous flights are gaining importance. They are particularly crucial in transpor...

Dentists’ perception and use of AI and robotics in the care of persons with disabilities

Abstract Despite the growing role of AI and robotics in healthcare, little is known about their integration into dental care for persons with disabilities (PWDs) in Saudi Arabia. This study aimed to assess dentists’ perceptions and attitude...

PZT Ferroelectric Synapse TFT With Multi-Level of Conductance State for Neuromorphic Applications

To fundamentally solve the bottleneck of Von Neumann’s computing architecture, a neuromorphic thin-film transistor (NTFT) employing Pb(Zr, Ti)O3 (PZT) was investigated. The indium gallium zinc oxide (IGZO) channel back gate TFT struc...

Robots in machining

probabilistic robotics

Field Robot Event is an annual competition for small field robots intended for student teams. Field Robot project has been seen as a motivating challenge for project-based learning as it results to a working prototype. In Finland the team h...