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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.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
This repository contains multiple approaches for generating global racetrajectories.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Python parser for URDFs
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