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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.
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
[LIBERO-MAX] A paired benchmark for robot-policy robustness to controlled changes introduced during execution.