Shahabedin Sagheb

Papers

Total Citations

H-Index

About

Shahabedin Sagheb is a researcher at the forefront of human-robot interaction, specializing in how autonomous systems can intentionally and ethically influence human behavior over extended periods. His work addresses a critical gap in robotics: while prior frameworks enable short-term influence, Sagheb focuses on the dynamics of long-term interaction, where a robot's actions—like an autonomous car's speed or steering—subtly shape a human partner's decisions. His most cited paper, "Towards Robots that Influence Humans over Long-Term Interaction" (2023, 11 citations), lays foundational theory for designing robots that maintain persuasive, cooperative relationships without coercion. A related 2022 version (3 citations) further refines these concepts. Sagheb’s contributions are vital for applications in autonomous driving, collaborative manufacturing, and assistive robotics, where sustained influence is key to safety and efficiency. By tackling the ethical and technical challenges of long-term robot-human influence, he is helping define how machines can become trusted, adaptive partners in daily life—a pursuit that bridges control theory, social psychology, and artificial intelligence.