Tiago Rodrigues de Almeida
Papers
4
Total Citations
28
H-Index
3
About
Tiago Rodrigues de Almeida is a leading researcher in human-robot interaction and social navigation, whose work focuses on understanding and predicting human motion in shared spaces. His major contributions center on the creation and analysis of high-quality, multi-modal datasets that capture complex, natural human movement and robot interaction. Notably, he is the lead author of the THÖR-MAGNI dataset (2024, 14 citations), a large-scale indoor motion capture recording that has become a key resource for modeling social human navigation, goal-oriented interactions, and proactive collision avoidance. His earlier work on the Magni Human Motion Dataset (2022, 7 citations) similarly provides semantically rich, contextualized data for training and evaluating social robots. Almeida has also advanced deep learning models for role-conditioned human motion prediction (2023, 4 citations) and addressed the challenge of trajectory prediction for heterogeneous agents in small, imbalanced datasets (2024, 3 citations). Through these efforts, he has significantly enhanced the ability of autonomous systems to anticipate and safely interact with humans, making his research foundational for the development of socially aware robots.
Research Focus
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Top Papers
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