Daniel Seita

Daniel Seita is a robotics and machine learning researcher who has published extensively at top-tier AI and robotics conferences including ICLR, CoRL, WACV, and IJCAI. His research focuses on robotic manipulation, granular media interaction, bimanual manipulation, and vision-language models for physical world understanding. He has collaborated with researchers at institutions including the University of Southern California, Carnegie Mellon University, and related robotics labs, with recent work appearing at CoRL 2025 and ICLR 2026.