Robotics and Intelligent Machines
Ornithopters have never fully replicated the efficiency of birds, which rely on complex kinematics that integrate thrust, lift, drag, and weight to optimize flight efficiency (Landell-Mills,…
Robotics and Intelligent Machines
Coral reefs are a vital ecosystem that thousands of species rely on. However, with climate changing, coral reefs are struggling. The “Cnidaria” Project serves as a tool for scientists to acc…
Robotics and Intelligent Machines
The teleoperation of robotic hands is limited by the high costs of depth cameras and sensor gloves, commonly used to estimate hand relative joint positions (XYZ). We present a novel, cost-ef…
Robotics and Intelligent Machines
Cocoa production contributes 10% to Ghana’s GDP, but diseases like Anthracnose and Cocoa Swollen Shoot Virus Disease (CSSVD) caused $1.2 billion in losses in 2023. Traditional detection meth…
Robotics and Intelligent Machines
Urban transportation faces multifaceted challenges including traffic congestion, road safety, and the need for real-time accident prevention. This project presents a comprehensive approach e…
Robotics and Intelligent Machines
The growing evolution of artificial intelligence tools has culminated in the development of potentially harmful technologies, such as audio deepfakes. These artificially created media can cl…
Robotics and Intelligent Machines
Currently, there is a noticeable lack of AI in the medical field to support doctors in treating heterogenous diseases such as Glioblastoma Multiforme (GBM), which has a five-year survival ra…
Robotics and Intelligent Machines
Pneumonia is a potentially lethal lung disease characterized by inflammation of the alveoli. Chest X-ray (CXR) imaging is the primary diagnostic tool, but human interpretation requires signi…
Robotics and Intelligent Machines
The aim of this project is to determine how having two methods of movement (wheels and legs) affects the movement capabilities of a robot. First, a robot with both wheeled and quadruped syst…
Robotics and Intelligent Machines
The main goal is to build a robot that can manage plant diseases autonomously for efficient disease management in agriculture. Conventional approaches are time-consuming, laborious, and inac…
Robotics and Intelligent Machines
Every year in the U.S., millions of cats and dogs go missing, but only a few are reunited with their owners. To address this issue, our study proposes a deep learning approach for matching l…
Robotics and Intelligent Machines
Deep neural networks are used in the medical industry as tools to diagnose skin cancer from photographic images and detect the severity of diabetic retinopathy. Alongside these steps in medi…
Robotics and Intelligent Machines
Third Award
Current commercial and research-grade prosthetics lack fine motor movements and have limited degrees of freedom. These functional limitations force the amputee to compensate, which causes ot…
Robotics and Intelligent Machines
With over 150,000 new amputees each year, the need for more affordable, fully functional prosthetics continues to grow. The aim of this project is to create a cost-effective prosthetic hand…
Robotics and Intelligent Machines
Machine learning is a rapidly growing field, making incredible advances especially in the subfields of computer vision and image classification. These advances are in part what allow for inn…
Robotics and Intelligent Machines
Bionic soft robot is an important branch in the field of robotics, allowing robots to use effective mechanical structure to maneuver in complex conditions. Among them, water surface robots w…
Robotics and Intelligent Machines
The existing Go AI System assumes players operate at the highest level, presenting analyses often inaccessible to most enthusiasts. This study addresses this gap by proposing novel estimatio…
Robotics and Intelligent Machines
Genetic Algorithms mimic evolution of a species in nature, where each generation is made up of a population of chromosomes, which, through crossover and mutation, evolve increasingly fit off…
Robotics and Intelligent Machines
This study aims to use machine learning to develop a more precise waste identification process than humans. We first observed the amount and type of contents in trash and recycling bins arou…
Robotics and Intelligent Machines
When moving autonomously, robots struggle to move to an exact target position, usually overshooting the goal. This is because it is impossible to infinitely decelerate (or stop immediately).…
Robotics and Intelligent Machines
Throughout the past decades, traffic jams during rush hour and other peak times of the day have been a significant issue, causing a considerable amount of financial losses and time costs. Ad…
Robotics and Intelligent Machines
Asian bush honeysuckle is a common invasive species of plant in the midwestern United States. It damages native ecosystems and requires significant time and manpower to treat. This project u…
Robotics and Intelligent Machines
Third Award
In recent years, multi-agent systems have become increasingly more prominent in robotics, factories, and space exploration. This brought up a new class of control theory problems usually ver…
Robotics and Intelligent Machines
Search and rescue missions demand as much manpower as possible in order to locate lost or injured individuals in time to save them. This project aims to reduce this search time by increasing…
Robotics and Intelligent Machines
This study focuses on the fundamental aspects of LLMs (Large Language Models) such as GPT, Bard, Llama 2, Claude, and more, particularly their inherent biases. These models, some engaging ov…
Robotics and Intelligent Machines
Second Award
Cardiovascular disease (CVD) is the leading cause of death in the United States. However, early detection can prevent up to 80% of associated fatalities. 12-lead Electrocardiograms (ECGs) ar…
Robotics and Intelligent Machines
Riding a bike is a carbon-efficient mode of transportation and a positive way to maintain fitness. However, the inherent difference in speed and size between cars and bikes makes it dangerou…
Robotics and Intelligent Machines
This paper presents an approach to utilizing Large Language Models (LLMs) for the control and coordination of robotic swarms. It explores how LLMs can improve the efficiency of swarm robotic…
Robotics and Intelligent Machines
Controlling a prosthetic hand is cognitively demanding and up to 44% of upper-limb amputees abandon their prosthesis. There is a need for prosthetic control strategies that are more intuitiv…
Robotics and Intelligent Machines
Brain-computer interface (BCI) enables direct communication between the brain and external devices, with applications ranging from the rehabilitation of motor disabilities to enhance human-c…