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pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Toolbox for quantitative trajectory evaluation of VO/VIO
[LIBERO-MAX] A paired benchmark for robot-policy robustness to controlled changes introduced during execution.
HexaShell: a thin harness in which a coding agent drives a robot from RGB images and writes its own tools; frozen tools for the 42 RoboDojo tasks
Embodied In-Context Learning for GPT-6 Astra
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0