Trinity Chung enhanced the Genesis-Embodied-AI/Genesis repository by developing a core sensor framework that introduced rigid contact force grid sensors and tactile fingertips, expanding the platform’s sensing capabilities. She refactored the base sensor classes and data recording mechanisms in C++ and Python to improve maintainability and support these new sensor modalities. Her work focused on robust sensor integration and simulation, establishing a foundation for richer data capture in production environments. By restructuring the data recording pathways, Trinity enabled more reliable and testable sensor data workflows, addressing the need for extensible sensor support within robotics applications and laying groundwork for future feature development.