GeNIE for In-the-Wild Navigation
We present a robust navigation framework designed for global deployment that achieved first place in the Earth Rover Challenge at ICRA 2025.
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We present a robust navigation framework designed for global deployment that achieved first place in the Earth Rover Challenge at ICRA 2025.
We introduce the fourth iteration of the Arena platform - Arena 4.0, a platform to develop, train, and benchmark social navigation approaches with generative model–based environment generation!
We propose CHD, a unified diffusion-based framework that tightly couples sub-goal and trajectory generation to improve long-horizon task planning.
We present VLA-Touch, a framework for VLA models with dual-level tactile feedback for contact-rich manipulation.
Congratulations to Tasbolat Taunyazov for winning the NUS School of Computing Best PhD Thesis Award in CS! The prize is awarded to “the most outstanding PhD ...
DOPPLER is a new framework that combines diffusion models and hierarchical reinforcement learning to let robots plan and replan complex, long-horizon tasks from offline data with robustness in the real world.
We propose optimal likelihood ratio-based selective classification methods based on the Neyman-Pearson lemma and evaluate them under vision and language covariate shifts tasks.