Ariyan Bighashdel

Papers

Total Citations

H-Index

About

Ariyan Bighashdel is a researcher advancing the frontiers of socially-aware robotics and human-robot interaction, with a core focus on pedestrian trajectory prediction and inverse reinforcement learning (IRL). His work addresses critical challenges in enabling mobile robots to navigate safely and efficiently among humans in dynamic, multi-environment settings. Bighashdel’s most cited paper, “Continual Pedestrian Trajectory Learning With Social Generative Replay” (2022, 20 citations), introduces a novel continual learning framework that allows robots to adapt to shifting pedestrian motion patterns across different environments without forgetting prior knowledge—a key breakthrough for real-world deployment. He further contributes to IRL with his work on “Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations” (2022), tackling the complex problem of learning from diverse, unlabeled human behaviors where multiple intentions overlap. This research has significant implications for autonomous systems that must infer and anticipate varied human goals. Bighashdel’s work is distinguished by its practical focus on overcoming data and environmental constraints, earning recognition for pushing the boundaries of adaptive, socially compliant robot navigation. His contributions are vital for students and researchers interested in lifelong learning, imitation learning, and the intersection of robotics and social intelligence.