Surviving the Paper Deluge: A One-Year Study in Learning From Demonstration [Science and Technology Watch]
Published in IEEE Robotics & Automation Magazine, 2026
Recommended citation: A. Billard, R. Detry, N. Figueroa, M. Foriest, D. Lee and K. Yao, "Surviving the Paper Deluge: A One-Year Study in Learning From Demonstration [Science and Technology Watch]," in IEEE Robotics & Automation Magazine, vol. 33, no. 2, pp. 205-211, June 2026, doi: 10.1109/MRA.2026.3682522. https://ieeexplore.ieee.org/abstract/document/11563978
This Science and Technology Watch column presents a structured one-year review of the Learning from Demonstration (LfD) field, curating and synthesizing key contributions across imitation learning, policy learning, and robot programming by demonstration. The work identifies emerging trends, highlights representative results, and outlines open challenges for researchers and practitioners navigating this rapidly evolving area.