Max Robotics — Global Service Robot Directory + US Certification

About

Luna Gava is a robotics researcher whose work spans two dynamic and increasingly intersected domains: socially assistive robotics and event-camera-based perception for high-speed robot control. Her early contributions focused on designing culturally aware conversational systems for social robots and virtual assistants supporting older adults, including the development of a cloud platform enabling culturally competent interaction — work that has garnered 19 citations and highlights her commitment to human-centered robotics. Alongside this, Gava has made notable strides in reactive robot control using event cameras, neuromorphic sensors that capture visual data with microsecond latency. Her research on trajectory endpoint prediction (14 citations), latency evaluation for air-hockey scenarios, and 6-DoF dynamic object pose tracking demonstrates a rigorous push toward enabling robots to interact reliably with fast-moving objects in real time. Her 2025 work on impact-aware nonprehensile catching extends this trajectory into physically demanding manipulation tasks. Across her portfolio — totaling over 60 citations — Gava consistently bridges perception, control, and human interaction, positioning her as a versatile contributor to both assistive technology and agile robotic systems research.