Trevor Darrell

Professor Trevor Darrell is a faculty member in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. He leads research in computer vision, machine learning, and robotics, focusing on algorithms for visual recognition and perception-based interfaces. His affiliations include the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Center for Responsible, Decentralized Intelligence (RDI), and the International Computer Science Institute (ICSI).

Education:

• PhD, MIT (1996)
• BSE in Computer Science, University of Pennsylvania (1988)

Research Interests: Professor Darrell’s work spans Artificial Intelligence, Computer Vision, Robotics, and Multimodal Learning. His recent efforts emphasize vision-language models, embodied AI, and ethical AI frameworks for healthcare and robotics.

Notable Contributions: His articles in 2025 highlight advancements in multimodal generation, humanoid control, and model alignment. Trends include leveraging vision-language integration for robotics tasks and addressing AI bias and hallucination.

Awards:

• ICML Test of Time Award (2024)
• ACM SIGMM Test of Time Paper Award (2024)
• CVPR Longuet-Higgins Prize (2024)

Labs & Collaborations: Leads BAIR and RDI, advancing responsible AI and geospatial analysis through initiatives like Berkeley Deep Drive and the CITRIS People and Robots (CPAR) program.