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It is evident that the technological growth of the last few decades has signaled the development of several application domains. One application domain that has expanded massively in recent years is robotics. The usage and spread of robotic systems in commercial and non-commercial environments resulted in increased productivity, efficiency, and hig...
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Citations
... A human hand kinematic model from[121] considering all DoFs except for the wrist. ...
Hands are a fundamental tool humans use to interact with the environment and objects. Through hand motions, we can obtain information about the shape and materials of the surfaces we touch, modify our surroundings by interacting with objects, manipulate objects and tools, or communicate with other people by leveraging the power of gestures. For these reasons, sensorized gloves, which can collect information about hand motions and interactions, have been of interest since the 1980s in various fields, such as Human-Machine Interaction (HMI) and the analysis and control of human motions. Over the last 40 years, research in this field explored different technological approaches and contributed to the popularity of wearable custom and commercial products targeting hand sensorization. Despite a positive research trend, these instruments are not widespread yet outside research environments and devices aimed at research are often ad hoc solutions with a low chance of being reused. This paper aims to provide a systematic literature review for custom gloves to analyze their main characteristics and critical issues, from the type and number of sensors to the limitations due to device encumbrance. The collection of this information lays the foundation for a standardization process necessary for future breakthroughs in this research field.
... The paper also discusses future enhancements, including adding LED lights, incorporating sensors for object detection, and improving the user interface. [2] The suggested system by Muhammad Abbas Khan et al presents the design and development of a semi-autonomous garbage collector robot intended for efficient waste collection and disposal in diverse settings. Equipped with a robotic arm, remote monitoring camera, and controllable via voice command or a mobile application, the robot addresses waste management issues in Pakistan with the goal of reducing environmental pollution. ...
Aim/Objectives: This project is dedicated to establishing an autonomous garbage collection and sorting system, aiming to segregate waste into categories such as paper, plastic, metal, and general trash. The primary objective is to design and develop a comprehensive solution to address waste disposal challenges in diverse environments, including schools, restaurants, offices, hotels, and similar locations. The process involves creating a robust solution, conducting thorough tests for effectiveness, and ensuring the ongoing maintenance of the implemented system.
Method: Our project consists of two primary components. Firstly, an automated system is under development for trash collection along a designated path. The system autonomously surveys its surroundings using a camera and employs the YOLO Detection Model, running on a Raspberry Pi. With ROS2 MoveIt, appropriate commands are sent to the Arduino, which then moves the robotic arm to collect and deposit waste into an attached bin. Additionally, a user-friendly software interface facilitates manual control, allowing commands to be sent to the robotic arm for collecting stationary waste. Furthermore, the system incorporates voice command functionality, enabling the robot to respond and collect trash based on verbal commands.
Findings: The implemented autonomous robotic arm for trash collection showcases versatile functionality. Capable of efficiently segregating and depositing trash into an attached bin, the robot features a camera for remote monitoring of garbage collection activities by administrators. Moreover, the prototype incorporates an electronic mechanism, allowing the robot to dispense the collected garbage at specified locations. Operated exclusively by installed batteries, the robot functions without the need for fuel or electricity.
The paper proposed intelligent moving sensory robot localization (IMSRL) method for shooting training in military applications. It's a conceptual design of a human-like intelligent target robot. It offers concept strategies based on standard military shooting training and combat utilization scenarios in light of the current trend toward intellectual and remotely operated training equipment and the practical implementations of mobile target robots elsewhere. With photogrammetry and pattern matching through model information and forefront goal isolation, characteristic point recovery, and movement prediction to Kalman filtering, IMSRL relies on a method for monitoring feature points of moving targets. Performance values and the ability to recognize and follow moving targets increase significantly in simulated experiments using the suggested strategy. Parameters such as confidence level may enhance motion target recognition, tracking reliability, and precision. In contrast, inter-frame centroid distance can be used to evaluate the efficiency and consistency of these processes.
