Abstract: A data processing system implements receiving a far-end signal associated with a first computing device participating in an online communication session and receiving a near-end signal associated with a second computing device participating in the online communication session. The near-end signal includes speech of a target speaker, a first interfering speaker, and an echo signal. The system further implements providing the far-end signal, the near-end signal, and an indication of the target speaker as an input to a machine learning model. The machine learning model trained to analyze the far-end signal and the near-end signal to perform personalized noise suppression (PNS) to remove speech from one or more interfering speakers and acoustic echo cancellation (AEC) to remove echoes. The model is trained to output an audio signal comprising speech of the target speaker. The system obtains the audio signal comprising the speech of the target speaker from the model.

Abstract: Disclosed are a system and methods for operating an autonomous or semi-autonomous vehicle. One method comprises travelling in an outdoor setting, capturing data related to the outdoor setting, processing captured data and identifying occlusion present in the preprocessed data. The system comprises an autonomous or semi-autonomous vehicle configured to travel in outdoor settings and comprising at least one first sensor and at least one processing component. The processing component is configured to process data captured by the first sensor and identify occlusion present in the preprocessed data.

Abstract: A method, system, and device for mobile robot operations. The method comprises a mobile robot comprising at least one sensor configured to capture data related to the robot's surroundings traveling on a pedestrian pathway. The method also comprises the mobile robot using the sensor to collect data relating to moving objects in the robot's surroundings. The method further comprises detecting at least one pedestrian within the collected data, said pedestrian moving with a motion pattern. The method also comprises analyzing the pedestrian's motion pattern to determine and output the pedestrian's intent. The system comprises at least one mobile robot configured to travel on pedestrian pathways. The robot comprises at least one sensor configured to capture data related to the robot's surroundings and to collect data relating to moving objects in said surroundings. The system also comprises at least one pedestrian detector.

Abstract: Disclosed are a system and methods for operating a mobile robot. One method comprises travelling in an outdoor setting, capturing data related to the outdoor setting, processing captured data and identifying occlusion present in the preprocessed data. The system comprises a mobile robot configured to travel in outdoor settings and comprising at least one first sensor and at least one processing component. The processing component is configured to process data captured by the first sensor and identify occlusion present in the preprocessed data.