Motion Transformer

Motion Transformers (MTRs) are a class of neural network architectures designed to model and predict human and agent motion, addressing limitations of previous methods in handling long sequences and complex interactions. Current research focuses on improving MTRs' capabilities for long-term motion generation, multi-agent prediction (including social interactions), and control-guided motion prediction for applications like autonomous driving. These advancements are significantly impacting fields such as robotics, autonomous vehicles, and animation by enabling more realistic and efficient motion generation and prediction in complex scenarios.