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AERIS enables real-time, role-driven intelligence for aerial robots, adapting dynamically to resource constraints while maintaining high-performance navigation capabilities.
SurveilNav achieves state-of-the-art navigation success rates by seamlessly integrating robot perception with multi-view surveillance, transforming how robots can navigate complex environments.
Mismatched SFT data hurting your LLM's reasoning? DART uses RL to transform it into perfectly aligned training examples, boosting generalization and efficiency.
Forget painstakingly annotating paired images: VGGT-Segmentor achieves state-of-the-art cross-view segmentation by cleverly pretraining on single images, sidestepping the need for correspondence.
By integrating hierarchical memory and agentic RL, EventMemAgent enables MLLMs to actively perceive and reason about unbounded video streams, outperforming passive processing methods.
LLMs can now navigate complex multi-agent pathfinding scenarios with superhuman efficiency, thanks to a neural algorithmic reasoning module that injects graph-aware intelligence.
