The GiaAnt, mimicking ant motion, employs a link and crank mechanism with 1 DOF to traverse easily in grass, rocks, rough surfaces, and pavements. It incorporates image processing for identifying approximately 81 different objects, enhancing its adaptability for diverse environments and applications.

Fire incidents are seen to happen frequently in our country. Coupled with traffic congestion and insufficient firefighting resources, the resultant impact of these incidents is profoundly dire. The drone, 'Blazeguard,' aims at significantly enhancing available resources and facilitating rapid responses to emergent fire incidents. Blazeguard is integrated with a precision-dropping mechanism to ensure the targeted deployment of firefighting measures.

This course introduces students to the design of electromechanical systems through practical projects. One such project involved the development of a night vision camera system integrated with a drone. This project provided students with valuable hands-on experience in electromechanical design principles. Our Night Vision drone is a unmanned aerial vehicles (UAVs) that can be used to see beyond the limitations of human vision in low light or complete darkness .Thus it will ensure public safety and security through surveillance and monitoring. 

The compliance and conformability of soft robots provide inherent advantages when working around delicate objects or in unstructured environments. However, rapid locomotion in soft robotics is challenging due to the slow propagation of motion in compliant structures, particularly underwater. Cephalopods overcome this challenge using jet propulsion and the added mass effect to achieve rapid, efficient propulsion underwater without a skeleton. Taking inspiration from cephalopods, here we present an underwater robot with a compliant body that can achieve repeatable jet propulsion by changing its internal volume and cross-sectional area to take advantage of jet propulsion as well as the added mass effect. 

DronoBee is a project of Electromechanical System course (ME 366) under Mechanical Department of Bangladesh University of Engineering and Technology (BUET). It is a customized drone which is used to cut the beehive and then collect the honey. The drone is semi-automatic which can detect the beehive automatically by using its own camera system and then it can cut the beehive with its own cutter which is a 1 degree of freedom cutter and then it collects the honey and come to its launching position automatically. All we have to launch the drone carefully and shift its mode to Altitude Holding mode and then it will work automatically. It can stabilize its position in a fixed height by using its altitude holding mode. 

This paper presents the design, development, and implementation of a quadruped spider robot equipped with three degrees of freedom (DOF) per leg, specifically engineered for the early detection of potato diseases such as early blight (Alternaria solani) and late blight (Phytophthora infestans). Leveraging ESP32-CAM technology and advanced image processing techniques, the robot controlled by Bluetooth traverses diverse terrain types, including soil and rough surfaces, while capturing high-resolution images of potato leaves. The collected dataset, sourced from Kaggle, serves as the foundation for training a convolutional neural network (CNN) to accurately identify symptoms of blight diseases in real-time. This paper details the design considerations, mechanical structure, electronic components, and software architecture of the spider robot, along with the development of the disease detection algorithm. Furthermore, experimental results demonstrate the efficacy and reliability of the proposed system in early disease detection, offering a transformative solution for enhancing crop health and agricultural productivity. 

Chess, renowned for its strategic depth and captivating challenge, evolves hand in hand with technological advancements, particularly in robotics and image processing. This groundbreaking project introduces a visionary fusion of a chess-playing robotic arm with cutting-edge image processing capabilities, poised to redefine gaming experiences. Through the seamless integration of robotics and image processing, the system enables lightning-fast analysis of the chessboard, empowering the robotic arm to execute moves autonomously. This innovation not only adds a thrilling dimension to gameplay but also offers users a captivating visual representation of the game's progression. Within this comprehensive documentation, we unveil the intricate development journey, spotlighting the sophisticated hardware components, ingenious software algorithms, and boundless applications. From elevating recreational gaming to revolutionizing educational tools and research platforms, this project represents a monumental leap forward in intelligent gaming technologies. Moreover, our endeavor ventures into uncharted territories of human-robot interaction and immersive gaming experiences, laying the groundwork for a future brimming with innovation and excitement in the realm of intelligent gaming. 

The Bengal monitor (Varanus bengalensis), also called the Indian monitor, is a monitor lizard distributed widely in the Indian Subcontinent, as well as parts of Southeast Asia and West Asia. It derives the common name ‘Monitor Lizard’ from the fact that it frequently stops and stands up on its hind legs, as though it is monitoring its surroundings. This was the direct inspiration for our project Varanus, a robotic lizard under the category of bio-inspired robots. Our ultimate goal was to make a robot that could mimic the lizard motion and navigate on the ground, as well as climb on the walls to provide surveillance, warning about any security breach or safety hazards beforehand. 

Modern engineering is increasingly confronted with challenges necessitating multifunctional solutions adaptable to diverse applications and complex scenarios. Conventional, single-purpose designs, while effective in specific contexts, often fall short in addressing contemporary engineering needs that demand adaptability and versatility. This paper proposes a novel systems-of-systems bio-inspired design methodology grounded in a solution-driven paradigm. This approach aims to bridge the gap between the limitations of conventional design and the evolving demands of the engineering landscape. Bio-inspired design draws inspiration from the remarkable functionalities and adaptations observed in biological systems. This methodology leverages the inherent versatility and efficiency of biological solutions to address real-world engineering challenges. The proposed systems-of-systems approach further extends this concept by focusing on the interconnectedness and coordinated functionality of multiple subsystems within a single design, fostering the creation of complex and adaptable solutions tailored to diverse application requirements. As a practical demonstration, we present a bio-inspired robot designed for adaptable navigation. This robot embodies the core principles of the proposed methodology by featuring both walking and rolling capabilities. Inspired by the locomotion of various organisms, this multi-modal functionality allows the robot to navigate diverse terrains, including uneven surfaces, obstacles, and tight spaces. Additionally, the robot integrates an onboard AI system enabling it to autonomously identify humans in its environment. This combined functionality, coupled with real-time video transmission via Wi-Fi to a remote controller, unlocks its potential for various applications. In search and rescue operations, the robot's ability to navigate complex disaster zones and identify survivors can significantly aid in rescue efforts, particularly in hazardous areas. Furthermore, its versatility can be harnessed for surveillance, enabling the monitoring of restricted areas, crowd control, and enhanced situational awareness for security personnel. In remote inspection scenarios, the robot's adaptability allows it to navigate hazardous environments while minimizing human risk and gathering valuable data through its on-board camera and AI for remote analysis. This bio-inspired robot serves as a concrete demonstration of the proposed systems-of-systems, solution-driven design methodology. By embracing the multifunctional ingenuity of nature and fostering coordinated functionality within a system, we can create innovative solutions that address the evolving needs of modern engineering, ultimately contributing to advancements across various fields.