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1. 发明公开

US20240109557A1 SYSTEMS AND METHODS FOR DISTRIBUTION-AWARE GOAL PREDICTION FOR MODULAR AUTONOMOUS VEHICLE CONTROL 审中-公开
公开(公告)号：US20240109557A1
公开(公告)日：2024-04-04
申请号：US17953397
申请日：2022-09-27
申请人： Robert Bosch GmbH
发明人： Jonathan Francis
IPC分类号： B60W60/00 , B60W40/02 , B60W40/114 , B60W50/00 , G06N3/08 , G06V20/56
CPC分类号： B60W60/0011 , B60W40/02 , B60W40/114 , B60W50/0097 , G06N3/084 , G06V20/56 , B60W2420/42 , B60W2520/14 , B60W2556/10
摘要： A method includes generating, using a machine learning model and at a first time interval, a first current vehicle position prediction and generating, using the machine learning model, at a second time interval, a first historical vehicle trajectory prediction based on at least the first current vehicle position prediction and previous spatial information. The method also includes generating, using the machine learning model, at a third time interval, a first future vehicle position prediction based on the first current vehicle position prediction and the first historical vehicle trajectory predication. The method also includes receiving, at the first time interval, sensor data and a sequence of waypoints, and controlling, at the first time interval, at least one vehicle operation of the vehicle using the first current vehicle position prediction, the first historical vehicle trajectory prediction, the first future vehicle position prediction, the sensor data, and the sequence of waypoints.

2. 发明授权

US11566809B2 Occupant thermal comfort inference using body shape information 有权
公开(公告)号：US11566809B2
公开(公告)日：2023-01-31
申请号：US16681131
申请日：2019-11-12
申请人： Robert Bosch GmbH
发明人： Jonathan Francis , Sirajum Munir , Matias Alberto Quintana Rosales
IPC分类号： F24F11/64 , F24F11/49 , F24F120/10
摘要： Occupant thermal comfort may be inferred and improved using body shape information. Height, weight, and shoulder circumference of an occupant of a room may be obtained using a depth sensor. A model may be utilized that is trained on a dataset including information reflecting of occupant comfort within the room versus temperature, the model receiving, as inputs, the height, the weight, and the shoulder circumference of the occupant and environmental information and outputting a comfort class. A temperature set-point for is identified which the room occupant is identified by the model as having the comfort class being indicative of user comfort. Heating, ventilation, and air conditioning (HVAC) controls are adjusted for the room to the identified temperature set-point.

3. 发明申请

US20200074228A1 RGBD SENSING BASED OBJECT DETECTION SYSTEM AND METHOD THEREOF 审中-公开
公开(公告)号：US20200074228A1
公开(公告)日：2020-03-05
申请号：US16468164
申请日：2017-12-12
申请人： Robert Bosch GmbH
发明人： Jonathan Francis , Sirajum Munir , Charles Shelton
IPC分类号： G06K9/62 , G06T7/254 , G06T11/60 , G06K9/00
摘要： An RGBD sensing based system for detecting, tracking, classifying, and reporting objects in real-time includes a processor, a computer readable media, and a communication interface communicatively coupled to each other via a system bus is illustrated. An object detection module is integrated into the system that detects and tracks any objects that are moved under its field of view.

4. 发明授权

US12027858B2 Distributed control for demand flexibility in thermostatically controlled loads 有权
公开(公告)号：US12027858B2
公开(公告)日：2024-07-02
申请号：US17365683
申请日：2021-07-01
申请人： Robert Bosch GmbH , Carnegie Mellon University
发明人： Jonathan Francis , Bingqing Chen , Weiran Yao
IPC分类号： H02J3/00 , G06N3/086 , G05F1/66
CPC分类号： H02J3/003 , G06N3/086 , G05F1/66 , H02J2310/12
摘要： A computer implemented method for controlling a load aggregator for a grid includes receiving a predicted power demand over a horizon of time steps associated with one of at least two buildings, aggregating the predicted power demand at each time step to obtain an aggregate power demand, applying a learnable convolutional filter on the aggregate power demand to obtain a target load, computing a difference between the predicted power demand of the one building with the target load to obtain a power shift associated with the one building over the horizon of time steps, apportioning the power shift according to a learnable weighted vector to obtain an apportioned power shift, optimizing the learnable weighted vector and the learnable convolutional filter via an evolutionary strategy based update to obtain an optimized apportioned power shift, and transmitting the optimized apportioned power shift to a building level controller associated with the one building.

5. 发明公开

US20240104308A1 SYSTEMS AND METHODS FOR EMBODIED MULTIMODAL ARTIFICIAL INTELLIGENCE QUESTION ANSWERING AND DIALOGUE WITH COMMONSENSE KNOWLEDGE 审中-公开
公开(公告)号：US20240104308A1
公开(公告)日：2024-03-28
申请号：US17953448
申请日：2022-09-27
申请人： Robert Bosch GmbH
发明人： Jonathan Francis , Alessandro Oltramari
IPC分类号： G06F40/35 , G06F40/279 , G06V10/22 , G06V10/774 , G06V10/82 , G06V20/50 , G06V20/70
CPC分类号： G06F40/35 , G06F40/279 , G06V10/22 , G06V10/774 , G06V10/82 , G06V20/50 , G06V20/70 , G05D1/0088
摘要： A method includes receiving input dialog including a text string corresponding to at least one question and extracting at least one keyword from the text string. The method also includes generating at least one action prediction and providing one or more sub-questions associated with the at least one question. The method also includes receiving one or more answers to the one or more sub-questions, generating at least one sub-goal based on the one or more answers, and traversing an environment based on the at least one sub-goal. The method also includes receiving one or more images associated with the environment, predicting, using the one or more images, an answer to the at least one question, and providing, at an output mechanism, the answer to the at least one question.

6. 发明申请

US20220147861A1 Knowledge-Driven and Self-Supervised System for Question-Answering 有权
公开(公告)号：US20220147861A1
公开(公告)日：2022-05-12
申请号：US17091499
申请日：2020-11-06
申请人： Robert Bosch GmbH
发明人： Alessandro Oltramari , Jonathan Francis , Kaixin Ma , Filip llievski
IPC分类号： G06N20/00 , G06N5/02 , G06F16/9536
摘要： A computer-implemented system and method relates to natural language processing. The computer-implemented system and method are configured to obtain a current data structure from a global knowledge graph, which comprises various knowledge graphs. The current data structure includes a current head element, a current relationship element, and a current tail element. A sentence is obtained based on the current data structure. A question is generated by removing the current tail element from the sentence. A correct answer is generated for the question. The correct answer includes the current tail element. A pool of data structures is extracted from the global knowledge graph based on a set of distractor criteria. The set of distractor criteria ensures that each extracted data structure includes the current relationship element. Tail elements from the pool of data structures are extracted to create a pool of distractor candidates. A set of distractors are selected from the pool of distractor candidates. A query task is created that includes the question and a set of response options. The set of response options include the correct answer and the set of distractors. The query task is included in a training set. A machine learning system is trained with the training set. The machine learning system is configured to receive the query task and respond to the question with a predicted answer that is selected from among the set of response options.

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