Max Robotics — Global Service Robot Directory + US Certification

About

Aamir Hasan is a robotics researcher whose work lies at the intersection of human-robot interaction, autonomous navigation, and assistive technology. His primary research focuses on developing intelligent systems that can understand and predict human behavior, particularly for safe robot navigation in dynamic environments. Hasan’s most impactful contribution is in pedestrian trajectory prediction, where he pioneered the use of Mutable Intention Filters and Warp LSTMs to forecast long-term pedestrian movement—work that has garnered 39 citations. He further advanced this area with intention-aware residual bidirectional LSTMs, integrating human behavioral patterns into motion forecasting. In assistive robotics, Hasan developed DRAGON, a dialogue-based navigation system for persons with visual impairments that combines visual-language grounding with semantic navigation, demonstrating his commitment to inclusive technology. His research on driver attention, through the CoCAtt dataset, addresses critical safety challenges in autonomous driving by modeling cognitive states. With over 70 total citations across his key publications, Hasan is establishing himself as a rising voice in socially-aware robotics, bridging the gap between machine perception and human intention to create safer, more responsive autonomous systems.