Christopher is a third-year Computer Engineering student at Stevens Institute of Technology. He enjoys working with computer hardware and learning about machine learning. Christopher is concentrating in Artificial Intelligence and Embedded Systems. He plans to continue his studies by pursuing a master’s degree in Computer Engineering.
Eli is a third year student at Stevens Institute of Technology majoring in Computer Engineering. He was worked on various projects including robotics and machine learning. Eli is concentrating in embedded systems and plans to continue his studies to get a Master's in Computer Engineering.
Atharva is a third year student at Stevens Institute of Technology majoring in Electrical Engineering. He has previously worked on projects in robotics or artificial intelligence. Atharva is concentrating in Robotics and Control and plans to pursue his Master's in Electrical Engineering.
Abigail is a third year student majoring in Electrical Engineering. She has built and programmed simple robots in previous design classes. Abigail is concentrating in power engineering and plans to pursue a career after graduating.
Jason is a fourth year student at Stevens Institute of Technology, majoring in Software Engineering. He has previously conducted research developing machine learning models to predict whether or not a reaction would occur between polystyrene molecules. After graduating, Jason plans to pursue a career as a backend software engineer.
Abigail Izzo: Lead Hardware Engineer
Sensor Integration: Help select sensors and create architecture for sensors.
Mobility System: Design and build the mobility system, including wheels and motors. Integrate and test obstacle avoidance.
Weed-removal Mechanism: Help design and test weed-removal mechanisms.
Atharva Shaligram: Lead Hardware Engineer
Robot Platform Development: Design and test weed-removal mechanisms for efficiency along with mobility components for effective movement.
Sensor Integration: Select and integrate sensors including camera and LiDAR to enable weed detection and robot navigation.
Hardware-Software Collaboration: Work with software team to ensure streamlined communication between hardware/sensor components and control system.
Christopher Spadavecchia: Artificial Intelligence Lead
Build and Prepare Data: Collect, clean, and organize data to create a dataset that works well for the project.
Train AI Models: Lead the process of training models, adjusting settings, and improving performance.
Test and Improve: Check how well the model works, fix issues, and make it better over time.
Eli Shtindler: Systems Integration Lead
System Design and Architecture: Integrate sensors, actuators, and control systems with the robotics platform.
Testing and Validation: Test and troubleshoot the interfaces between hardware and software subsystems.
Documentation and Reporting: Create detailed documentation for system integration procedures, test results, and configurations.
Jason McCauley: Lead Software Engineer
Control System Development: Design and implement software algorithms to enable robot navigation, obstacle avoidance, weed detection, and weed removal actions.
Sensor Data Processing: Develop software to process input from integrated sensors, such as the Intel Depth Camera and LiDAR, for real-time decision-making.
Hardware Integration: Collaborate with the hardware team to ensure seamless communication between software modules and physical components.
Kevin Lu: Project Advisor
CPE/EE 423/424 professor
Matthew Wade: IDE Advisor
IDE 401/402 Professor
Yi Guo: Robotics Advisor
CPE/EE 512 Professor
The team has been very active in communicating and meeting to discuss the latest progress and continue work on the Senior Design project. The team meets twice a week during and after Senior Design class and has been communicating through text messaging to review and assign tasks for both Senior Design and IDE. The team updates the Google Drive folder and Google Site that are shared with all the team members and the Senior Design advisor.
The team's progress has been consistent. Each member has been diligent with their tasks, which have been assigned based on their interests and strengths in those subjects. Alongside the deliverables for Senior Design and IDE, the team members have been learning and testing ROS for robot navigation along with doing trial runs of image processing using the YOLO model and looking into creating a weed training set. As of now, no major conflicts have arisen.