Circuit analysis has long been a traditional introduction to the art of problem solving from an engineering perspective, even for those whose interests lie outside electrical engineering.
Abstract — This work investigates the leader-follower formation control of multi-robot systems, an important field in robotics with broad applications in agriculture, logistics, and surveillance. The work illustrates the efficacy of geometric, potential field, and behavior-based control techniques in producing and sustaining desirable shapes through a thorough implementation utilizing the Turtlesim simulator in ROS. The technological difficulties posed by dynamic and unstructured environments are discussed, emphasizing the ongoing need for advancements in coordination and control algorithms [2] [3]. This work critically assesses the ethical ramifications of using autonomous robots in larger social contexts, going beyond their technical limitations. Safeguarding privacy to preserve sensitive data, removing algorithmic bias to ensure fairness, addressing the socioeconomic effects of potential employment displacement, and assuring safety to prevent accidents are among the main challenges [5]. The project intends to pave the road for the responsible and sustainable integration of these technologies into society, ensuring they contribute positively while reducing potential negative effects, by including ethical considerations into the design and deployment of autonomous robots.
Keywords — autonomous robots, geometric control, multi-robot systems, ROS, Turtlesim, algorithmic bias, safety, privacy, ethical concerns, urban deployment, autonomous navigation, robotic coordination, leader-follower formation control.
Author: waqas javaid
Platform: Wirewhite
Abstract
This research focuses on design and stability analysis of a humanoid robot using a TonyPi model in the blender 3D simulation environment. Humanoid robots are quickly integrated into real world applications, where stability is a significant requirement under dynamic conditions. The purpose of the study is to find out how robots during simulation affect the environmental change and the object interaction balance [1]. A completely rigged 3D robot model was created and analyzed in four separate scenes: two stable and two unstable. Standing scenes involved adaptation of currency and surface friction adaptation, while unstable scenes had interesting aircraft and object conflicts. The most important simulation parameters such as frame frequency solve repetitions and replacements were adjusted to reflect realistic dynamics. The results demonstrated how physical properties and visual configurations directly affect the robotic balance. The use of blender enabled high -color visualization and dynamic testing. This study reveals the importance of simulation in robotics design and validates the aperture as a reliable tool for pre-premature verification.
Author: Waqas Javaid
Older wounds have increasing concerns in age care facilities due to low mobility, poor circulation and delay in the treatment associated with older population. For effective treatment, it is important to evaluate the wound’s accurate and timely but traditional wound management methods, is more dependent on subjective visual evaluation of health workers. This article Woundkare presents a new mobile-based application that integrates the improved reality (AR) with intensive learning model-dipped skin front wound detection, tissue classification and for tissue classification and dimensional analysis [1] [8]. By allowing patients or caregivers to upload wound images through user -friendly interfaces, the system automatically identifies the boundaries of the wound and classifies the tissue in the wound to a clinically relevant categories: necrotic (black), slowly (yellow/green), epithelialization (pink) and forms (red). In addition, this calculates significantly wounded matrix such as length, width, area and volume. This purpose and automated solution are designed to make clinical decisions, reduce clinical variability and improve treatment outcomes through data -driven monitoring. In the age of care, the utility of the application is particularly emphasized, where the wound is high and persistent clinical assessment may not be possible.
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