ChatterArm: Large Language Model Augmented Vision-based Grasping
Unified LangSAM with GGCNN for deployment as a vision-language-action model in ROS2/Gazebo, achieving 90% accuracy in grasp pose estimation for the YCB Dataset.
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Unified LangSAM with GGCNN for deployment as a vision-language-action model in ROS2/Gazebo, achieving 90% accuracy in grasp pose estimation for the YCB Dataset.
Learn MoreImplemented BERT with multi-headed attention for public policy NER and failure mode classification, improving accuracy by 20%.
Learn MoreManaged a 10-member team in developing mechanisms for deploying a delta-wing glider from a can-sized satellite, achieving a global ranking of 53rd.
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