This paper establishes design criteria for soft exogloves (SEG) to be used as rehabilitation or assistance devices. This research consists in identifying, selecting, and grouping SEG features based on the analysis of 91 systems that have been proposed during the last decade. Thus, function, mobility, and usability criteria are defined and explicitly discussed to highlight SEG design guidelines. Additionally, this study provides a detailed description of each system that was analysed including application, functional task, palm design, actuation type, assistance mode, degrees of freedom (DOF), target fingers, motions, material, weight, force, pressure (only for fluids), control strategy, and assessment. Such characteristics have been reported according to specific design methodologies and operating principles. Technological trends are contemplated in this contribution with emphasis on SEG design opportunity areas. In this review, suggestions, limitations, and implications are also discussed in order to enhance future SEG developments aimed at stroke survivors or people with hand disabilities.

This paper addresses the design, fabrication and control of Fabric Inflatable Soft Actuators (FISAs) for driving Soft Wearable Devices (SWD) for rehabilitation or assistance tasks. FISAs are integrated by a set of pneumatic chambers made of 200D TPU-nylon that create bending-extending motions using a modular assembly that allow FISAs to adapt them to any size of limb or easily replace them. Regarding FISAs fabrication, a self-hand manufacturing approach has been used for cutting, sewing, and joining them. Additionally, to evaluate FISAs operation, a Soft Exo-Sleeve called MOSAR system was manufactured to achieve elbow motion. To control their inflation-deflation process in real-time, proportional and solenoid valves have been implemented along with a Proportional-Derivative (PD) control strategy that has been embedded in the NUCLEO-STM32F767ZI™ board with rapid control prototyping. Preliminary experiments about FISA performance on the MOSAR system were carried out to measure the inflation-deflation time, Range of Motion (ROM), and output force when elbow flexion-extension occurred in a dummy limb. The results have demonstrated FISAs functionality above the exosuit since they were able to lift 1 kg with flexion of 130${}^{°}$ in 5 s using 50 psi. Therefore, FISAs represent a feasible choice for semicircular motions in other joints such as the wrist, hand, or knee, no matter age, limb, or size, only the number of FISAs must be adjusted on the MOSAR system.

This paper proposes a methodology from the conception to the manufacture of soft wearable devices (SWD). This methodology seeks to unify medical, therapeutic and engineering guidelines for research, development and innovation. The aforementioned methodology is divided into two stages (A and B) and four phases. Stage A only includes phase 1 to identify the main necessity for a patient that will define the target of its associated device. Stage B encompasses phases 2, 3 and 4. The development of three models (virtual, mathematical and experimental physical) of the required device is addressed in phase 2. Phase 3 concerns the control and manufacture of the experimental physical model (EPM). Phase 4 focuses on the EPM experimental validation. As a result of this methodology, 13 mobility, 11 usability and 3 control iterative design criteria for SWD are reported. Moreover, more than 50 products are provided on a technological platform with modular architectures that facilitate SWD diversification. A case study related to a soft mobilizer for upper limb rehabilitation is reported. Nevertheless, this methodology can be implemented in different areas and accelerates the transition from development to innovation.

This paper presents a hybrid methodology for the creation of educational mobile robots, combining the efforts of developers in design, construction, and instrumentation with the use of “Vibe Coding” as an alternative programming approach. To achieve this objective, the methodology integrates electronics and algorithmic thinking to enable adaptive behavior across three operating modes for robotics competitions. The mobile robot features a compact and modular architecture (430 g, 22 cm length × 14 cm width) with support components manufactured using 3D printing. Instrumentation included an Arduino Uno^® development board, a Syb-170^® proto shield, a buzzer, an HC-SR04^® ultrasonic sensor, an SG90 RC^® servomotor, a SSD1315 display, three TCRT5000^® reflective optical sensors, two DC motors with integrated 48:1 gearboxes, an L298N motor driver, and two 18650^® rechargeable lithium-ion batteries. Programming and algorithmic implementation were carried out using Vibe Coding, leveraging its intuitive environment to accelerate the development of three independent operating modes: (1) line follower on a racetrack, (2) obstacle avoidance with various objects, and (3) Bluetooth control via the free MIT Application Inventor. The mobile robot successfully demonstrated all three tasks, validating its suitability for educational and competitive purposes. Furthermore, its architecture supports AI-assisted decision-making through Vibe Coding, enabling dynamic responses to environmental disturbances. The multimodal configuration enhances navigation by correcting trajectory deviations, thereby improving robustness, adaptability, and overall functionality.

This article introduces the design concept for FOOTGGY, a smart football training device. Based on a previous systematic review, a semi-quantitative matrix was constructed and applied to eight selected patents, evaluating speed, angle, accuracy, control, reaction time, biomechanical variables, 3D spatial parameters, and unpredictability. The results show greater coverage in the physical control of the system and less integration of biomechanical and cognitive variables. FOOTGGY is proposed as a device with launcher module, LED stimuli, sensors, real-time feedback and IoT/AI integration. The core metric is a maximum accuracy error of 2%, aimed at assessing the player's technical performance, accuracy, variability, and repeatability.