Andrew Esteves

I am a recent robotics engineering graduate from the University of Hartford. I’m now applying my skills at Symbotic, where I thrive as a versatile engineer with a curiosity for nearly every facet of the field. My experience spans developing autonomous vehicles, designing object detection systems, and reverse-engineering aircraft components. I am currently seeking challenging and multifaceted opportunities that will allow me to continue to learn and grow.

• Electromechanical Design and Vehicle Driving Capability Upgrade of a Full-Sized Humanoid, HART, ASME, 01/01/25, Engineered magnetic gear configurations to optimize joint torque in humanoid manipulators. Developed a monocular vision system (RoI Hough Transform + CNN) for autonomous vehicle navigation. Validated systems in real-world human-centered environments.
• Solar Eclipse Impact on Atmosphere with High-Altitude Ballooning, Academic High-Altitude Conference, 09/01/24, Co-led balloon payload design/launch during the 2023 annular and 2024 total solar eclipses. Analyzed atmospheric data (pressure, temperature) at altitudes up to 93,440 ft (-53F). Recovered 4K eclipse footage and validated atmospheric models during totality. Aided in PCB design of payload and programming of teensy 4.1.
• Detecting Driving Hazards Using LiDAR and AI for Industrial Navigation Robots, SPIE, 06/01/24, Enabled real-time depth estimation and vehicle halting via sensor fusion (simulation + field-tested).
• 3D Multi-Perspective Depth Detection Using Point Clouds and Machine Learning, SPIE, 06/01/24, Proposed a CNN-based method to fuse RGB cameras and LiDAR for simplified 3D object segmentation. Improved path optimization by translating 2D bounding boxes to point cloud clusters.

Python, C++, ROS, Java, CAD/Solidworks, Matlab, PLC programming, Labview, Welding, Machining, HTML, CSS, Bootstrap, Music, Robotics, Automotive, Programming, Fitness