With over 17,300 citations across more than 1,800 articles, Frontiers in Robotics and AI is within the top 10 most-cited journals in its field. Explore some of the journal's trending articles below.

Human Factors Considerations and Metrics in Shared Space Human-Robot Collaboration: A Systematic Review
This study systematically reviewed human factor (HF) literature in shared-space human-robot collaboration (HRC), the metrics to measure HFs, and the implications of HFs on HRC.

Robot Learning From Randomized Simulations: A Review
This study provides a comprehensive review of sim-to-real research for robotics, focusing on a technique named “domain randomization” which is a method for learning from randomized simulations.

Ergonomic human-robot collaboration in industry: A review
This review article provides an overview of the existing ergonomics assessment tools as well as the available monitoring technologies to drive and adapt a collaborative robot’s behavior.

A Wearable Soft Robotic Exoskeleton for Hip Flexion Rehabilitation
Soft robotics utilizes soft, pliable materials which may afford a less costly robotic solution. This study presents a soft-pneumatic-actuator-driven exoskeleton for hip flexion rehabilitation.

Serious Games Strategies With Cable-Driven Robots for Bimanual Rehabilitation: A Randomized Controlled Trial With Post-Stroke Patients
Using robots in stroke rehabilitation allows a greater intensity of therapies, generating improvements in motor and functional performance. Serious games can be used to enhance the progress tracking and provide an objective measures of therapy outcomes.

Finding ikigai: How robots can support meaning in later life
Using a mixed-methods and exploratory approach, this study explored how older adults in the US experience a sense of meaning, and if and how a social robot could be used to help foster this sense.

Advanced medical micro-robotics for early diagnosis and therapeutic interventions
This review examines the major challenges, current trends and significant achievements for developing versatile and intelligent micro-robotics with a focus on applications in early diagnosis and therapeutic interventions.

Visual Haptic Feedback for Training of Robotic Suturing
This paper presents contributions to realistic interactive suture simulation for training of suturing and knot-tying tasks commonly used in robotically-assisted surgery.

Affect-Driven Learning of Robot Behaviour for Collaborative Human-Robot Interactions
This study investigates the effect of modelling different affective core dispositions on the affective appraisal and use this affective appraisal as the motivation to generate robot behaviours.

Learning-based robotic grasping: A review
This paper reviews the recent development of learning-based robotic grasping techniques and identifies gaps and challenges faced in AI-enabled grasping, which hinder robotization in the aforementioned industries.
Read other impactful articles published in Frontiers in Robotics and AI.