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Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across...
The USC ROS packages project offers algorithms and drivers for the robotics projects underway in the labs at the University of Southern California. These packages are for use with the ROS software infrastructure (http://ros.sourceforge.net/).
Bender is a project intented to cover a complete UAVs system. The projects consists in three parts: the UAV Embedded software (Bender), the Control station software (Fry) and the communication protocol between UAVs and Control Station
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