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About

Teressa Talluri is a researcher at the forefront of human-robot interaction and augmented reality, specializing in the development of intelligent, bio-mimetic robotic fish systems. Her work uniquely integrates computer vision, gesture recognition, and immersive technologies to create interactive aquatic environments. Talluri’s most significant contribution is pioneering a framework for controlling robotic fish through human hand gestures, leveraging image processing and radio frequency sensors to enable intuitive, real-time commands. This work, detailed in her highly cited 2020 paper (7 citations), establishes a new paradigm for non-verbal human-robot communication. She further advanced the field by merging physical robotics with digital augmentation, creating 3D aqua holograms of fish that follow real robotic counterparts using color-tracking algorithms and OpenCV, as demonstrated in her 2020 study (5 citations). Her research also addresses practical challenges, such as preventing collisions in multi-fish systems through lead-lag swimming control (4 citations). By combining artificial intelligence with augmented reality, Talluri has laid the groundwork for engaging educational tools and public aquariums, where viewers can interact with both physical and holographic marine life, showcasing a compelling synthesis of robotics, AI, and human-centered design.