George J Pappas

Title: Innovations of George J Pappas

Introduction

George J Pappas is a notable inventor based in Philadelphia, PA (US). He has made significant contributions to the field of machine learning and robotics, holding a total of 3 patents. His work focuses on developing advanced methods and systems that enhance the capabilities of technology in various applications.

Latest Patents

One of his latest patents is titled "Model-based robust deep learning - Methods, systems, and computer readable media for model-based robust deep learning." This patent describes a method that involves obtaining a model of natural variation for a machine learning task. The model includes a mapping that specifies how an input datum can be naturally varied by a nuisance parameter. The method trains a neural network using this model and training data, ensuring that the neural network is robust to natural variations.

Another significant patent is "Probabilistic data association for simultaneous localization and mapping." This invention outlines a method for simultaneous location and mapping (SLAM) that involves receiving sensor measurements from a mobile robot's movement sensor and images captured by its camera. The method includes extracting detected objects from the images and estimating the robot's trajectory along with the semantic labels and positions of each detected object using an expectation maximization (EM) algorithm.

Career Highlights

George has worked at the University of Pennsylvania, where he has contributed to various research projects and innovations. His expertise in machine learning and robotics has positioned him as a key figure in advancing these technologies.

Collaborations

Throughout his career, George has collaborated with notable individuals such as Hamed Hassani and Alexander Robey. These collaborations have further enriched his work and contributed to the development of innovative solutions in his field.

Conclusion

George J Pappas is a distinguished inventor whose work in machine learning and robotics has led to significant advancements. His patents reflect his commitment to innovation and his ability to address complex challenges in technology.