公开(公告)号：US12124257B2

公开(公告)日：2024-10-22

申请号：US17734094

申请日：2022-05-01

申请人： STRONG FORCE TP PORTFOLIO 2022, LLC

发明人： Charles Howard Cella

IPC分类号： G05D1/00 ,  B60W40/08 ,  G01C21/34 ,  G01C21/36 ,  G05B13/02 ,  G05D1/224 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/228 ,  G05D1/229 ,  G05D1/24 ,  G05D1/646 ,  G05D1/69 ,  G05D1/692 ,  G06F40/40 ,  G06N3/04 ,  G06N3/045 ,  G06N3/08 ,  G06N3/086 ,  G06N20/00 ,  G06Q30/0208 ,  G06Q50/18 ,  G06Q50/40 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56 ,  G06V20/59 ,  G06V20/64 ,  G07C5/00 ,  G07C5/02 ,  G07C5/08 ,  G10L15/16 ,  G10L25/63 ,  G06N3/02 ,  G06Q30/02 ,  G06Q50/00

CPC分类号： G05D1/0022 ,  B60W40/08 ,  G01C21/3438 ,  G01C21/3461 ,  G01C21/3469 ,  G01C21/3617 ,  G05B13/027 ,  G05D1/0088 ,  G05D1/0212 ,  G05D1/0287 ,  G05D1/224 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/228 ,  G05D1/229 ,  G05D1/24 ,  G05D1/646 ,  G05D1/69 ,  G05D1/692 ,  G06F40/40 ,  G06N3/0418 ,  G06N3/045 ,  G06N3/08 ,  G06N3/086 ,  G06N20/00 ,  G06Q30/0208 ,  G06Q50/188 ,  G06Q50/40 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56 ,  G06V20/59 ,  G06V20/597 ,  G06V20/64 ,  G07C5/006 ,  G07C5/008 ,  G07C5/02 ,  G07C5/08 ,  G07C5/0808 ,  G07C5/0816 ,  G07C5/0866 ,  G07C5/0891 ,  G10L15/16 ,  G10L25/63 ,  B60W2040/0881 ,  G06N3/02 ,  G06Q30/0281 ,  G06Q50/01

摘要： Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

公开(公告)号：US12103773B2

公开(公告)日：2024-10-01

申请号：US17138444

申请日：2020-12-30

申请人： Gideon Brothers d.o.o.

发明人： Josip Cesic ,  Tomislav Haus ,  Matija Zigic

IPC分类号： B65G1/06 ,  B65G1/137 ,  B66F9/06 ,  G05B19/418 ,  G05D1/00 ,  G05D1/222 ,  G05D1/223 ,  G05D1/224 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/247 ,  G05D1/617 ,  G05D1/646 ,  G05D1/69 ,  G06F3/0486 ,  G06F18/21 ,  G06V20/10 ,  G06V20/64 ,  G06V30/194 ,  G06F3/04847

CPC分类号： B65G1/06 ,  B65G1/065 ,  B65G1/1375 ,  B66F9/063 ,  G05B19/41895 ,  G05D1/0044 ,  G05D1/0212 ,  G05D1/0214 ,  G05D1/0231 ,  G05D1/0291 ,  G05D1/0297 ,  G05D1/222 ,  G05D1/223 ,  G05D1/2244 ,  G05D1/225 ,  G05D1/226 ,  G05D1/227 ,  G05D1/247 ,  G05D1/617 ,  G05D1/646 ,  G05D1/69 ,  G06F3/0486 ,  G06F18/21 ,  G06V20/10 ,  G06V20/64 ,  G06V30/194 ,  B65G2203/0233 ,  B65G2203/041 ,  G06F3/04847

摘要： A system and a method are disclosed where a robot operating using a first traversal protocol traverses autonomously along a first route that is defined by markers that are detectable by the robot, wherein the robot is configured to move only based on a presence and type of each marker when the robot is configured to operate based on the first traversal protocol. The robot detects, while traversing along the route, a triggering condition corresponding to a change in operation by the robot from the first traversal protocol to a second traversal protocol. Responsive to detecting the triggering condition, the robot is configured to operate in the second traversal protocol, wherein the robot, when configured to operate based on the second traversal protocol, determines a second route autonomously without regard to a presence of any of the markers.

公开(公告)号：US12072702B2

公开(公告)日：2024-08-27

申请号：US17363413

申请日：2021-06-30

申请人： EQUIPMENTSHARE.COM INC

发明人： William J. Schlacks, IV ,  Brian Adams ,  James Dianics ,  Ian Graves ,  Rob Martin ,  Scott Pfursich

IPC分类号： G05D1/00 ,  G05D1/225 ,  G05D1/247 ,  G05D1/248 ,  G05D1/617 ,  G05D1/622 ,  G05D1/628 ,  G05D1/69 ,  G05D1/692

CPC分类号： G05D1/0044 ,  G05D1/0027 ,  G05D1/0055 ,  G05D1/0238 ,  G05D1/0255 ,  G05D1/0278 ,  G05D1/225 ,  G05D1/247 ,  G05D1/248 ,  G05D1/617 ,  G05D1/622 ,  G05D1/628 ,  G05D1/69 ,  G05D1/692

摘要： A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

公开(公告)号：US20240264602A1

公开(公告)日：2024-08-08

申请号：US18529004

申请日：2023-12-05

申请人： TOYOTA JIDOSHA KABUSHIKI KAISHA

发明人： Ruiko ITO

IPC分类号： G05D1/222 ,  G05D1/69 ,  G05D105/70 ,  G05D109/10

CPC分类号： G05D1/222 ,  G05D1/69 ,  G05D2105/70 ,  G05D2109/10

摘要： A remote support system is a remote support system for one remote operator to remotely support a plurality of mobile objects. The remote support system includes a situation acquisition unit, a support difficulty level calculation unit, and a notification unit. The status acquisition unit acquires the work status of the remote operator based on information transmitted from an operator interface operated by the remote operator. The assistance difficulty level calculation unit calculates the assistance difficulty level of the remote operator based on the work status of the remote operator. The notification unit notifies the mobile objects of the assistance difficulty level.

公开(公告)号：US20240239607A1

公开(公告)日：2024-07-18

申请号：US17928727

申请日：2022-11-24

申请人： SEOL HEE JEON

发明人： SEOL HEE JEON

IPC分类号： B65G1/137 ,  B65G1/04 ,  G05D1/69 ,  G05D101/00 ,  G05D105/28 ,  G05D107/70

CPC分类号： B65G1/1378 ,  B65G1/0492 ,  B65G1/1371 ,  G05D1/69 ,  G05D2101/22 ,  G05D2105/285 ,  G05D2107/70

摘要： Disclosed is a task performance method of a system configured to perform a task on a delivery object using a plurality of robots assisting a worker. The task performance method of a system includes assigning, by the server, at least one task of a plurality of tasks stored in advance to a first robot among the plurality of robots, determining, by the server, a path for arranging the first robot to a first location in which at least one delivery object related to the task assigned to the first robot is stored, guiding, by the server, the first robot to the first location according to the determined path, and guiding, by the server, the first robot arranged in the first position to a second position.

公开(公告)号：US20240201701A1

公开(公告)日：2024-06-20

申请号：US18586011

申请日：2024-02-23

申请人： Aloft Sensing, Inc.

发明人： Patrick Rennich ,  Lauren Wye

IPC分类号： G05D1/249 ,  G05D1/242 ,  G05D1/245 ,  G05D1/248 ,  G05D1/69 ,  G05D111/20 ,  G05D111/30

CPC分类号： G05D1/249 ,  G05D1/242 ,  G05D1/245 ,  G05D1/69 ,  G05D1/248 ,  G05D2111/20 ,  G05D2111/30

摘要： A self-contained, high precision navigation method and system for a mobile vehicle includes an active coherent imaging sensor array with multiple receivers that observes the surrounding environment and a digital processing component that processes the received signals to form interferometric images and determine the precise three-dimensional location and three-dimensional orientation of the vehicle within that environment. A mesh navigation system for a network of mobile vehicles is provided where each mobile vehicle hosts an active coherent imaging sensor that observes a common area in the environment that surrounds the network of mobile vehicles. The navigation system on each mobile vehicle receives signals from the other mobile vehicles reflected from the common area in the environment. These signals are processed onboard each mobile vehicle to form interferometric images and determine the precise three-dimensional location of each mobile vehicle relative to the others operating and moving within the network.

公开(公告)号：US20240103544A1

公开(公告)日：2024-03-28

申请号：US18275140

申请日：2021-02-05

申请人： NEC Corporation

发明人： Taichi Kumagai ,  Shinya Yasuda

IPC分类号： G05D1/646 ,  G05D1/249 ,  G05D1/69 ,  G08G1/00

CPC分类号： G05D1/646 ,  G05D1/249 ,  G05D1/69 ,  G08G1/20 ,  G05D2109/10

摘要： A conveyance system (1) according to the present disclosure includes: a conveyance vehicle (10) that conveys an object based on a first traveling path; a sensor (20) that transmits information regarding a position of the conveyance vehicle (10) via a network; a communication unit (32) that can communicate with the conveyance vehicle (10) and the sensor (20); and a control unit (31) that controls the conveyance vehicle (10) via the communication unit (32). The control unit (31) determines a second traveling path based on the information regarding the position of the conveyance vehicle (10) and corrects a traveling trajectory of the conveyance vehicle (10) based on the first traveling path and the second traveling path.

公开(公告)号：US20240094746A1

公开(公告)日：2024-03-21

申请号：US18527236

申请日：2023-12-01

申请人： Positec Power Tools (Suzhou) Co., Ltd.

发明人： Mingming He ,  Shuanglong Wu ,  Don Zhendong Gao ,  Xiahong Zha ,  Changhua Liu

IPC分类号： G05D1/69 ,  A01D34/00 ,  G05D1/646 ,  G05D1/80 ,  G16Y40/35 ,  H04W4/46

CPC分类号： G05D1/69 ,  A01D34/008 ,  G05D1/646 ,  G05D1/80 ,  G16Y40/35 ,  H04W4/46 ,  G05D2109/10

摘要： A multi-machine cooperation method, a scheduling device, and a multi-machine cooperation system are described. The multi-machine cooperation method includes: determining, by a first autonomous robot when detecting an abnormal condition during operation, whether the abnormal condition can be independently processed; and when the abnormal condition cannot be independently processed, sending, by the first autonomous robot, an assistance request to another device in an Internet of Things in which the first autonomous robot is located. In the specification, a multi-machine cooperation operation between autonomous robots or between an autonomous robot and another device can be implemented.

公开(公告)号：US20240361783A1

公开(公告)日：2024-10-31

申请号：US18646929

申请日：2024-04-26

申请人： Daifuku Co., Ltd.

发明人： Daisuke Ogawa ,  Yuya Hirao

IPC分类号： G05D1/86 ,  G05D1/24 ,  G05D1/69 ,  G05D107/70 ,  G05D111/30 ,  H04B17/318 ,  H04W4/44

CPC分类号： G05D1/86 ,  G05D1/24 ,  G05D1/69 ,  H04B17/318 ,  H04W4/44 ,  G05D2107/70 ,  G05D2111/30

摘要： A controller in a vehicle control system includes a communication state determiner that determines a communication state between a facility communicator and a vehicle communicator in each vehicle, and a recorder. When the communication state determiner determines that the communication state between the facility communicator and the vehicle communicator in any vehicle has a communication failure, the controller obtains vehicle state information indicating a state of a target vehicle being the vehicle having the communication failure at at least one data obtaining point in a target period including at least one of a failure-occurrence point or a failure-recovery point of the communication failure, and records the vehicle state information in the recorder.

公开(公告)号：US20240353861A1

公开(公告)日：2024-10-24

申请号：US18270865

申请日：2022-11-08

申请人： NANJING UNIVERSITY OF INFORMATION SCIENCE & TECHNOLOGY

发明人： Ling TAN ,  Lei SUN ,  Jingming XIA

IPC分类号： G05D1/644 ,  G05D1/689 ,  G05D1/69 ,  G05D105/80 ,  G05D109/25 ,  H04N7/18

CPC分类号： G05D1/644 ,  G05D1/689 ,  G05D1/69 ,  H04N7/181 ,  G05D2105/89 ,  G05D2109/254

摘要： The present disclosure relates to a method for stochastic inspections on power grid lines based on unmanned aerial vehicle-assisted edge computing. According to the method, a stochastic distributed inspection unmanned aerial vehicle is adopted to acquire video images on a target power grid area, which can reduce funds and time costs of inspections. With assistance of superior unmanned aerial vehicle, a goal is to minimize energy consumption of an unmanned aerial vehicle system and extend operation time of the unmanned aerial vehicles under same payload conditions, while processing video image data collected from the inspection unmanned aerial vehicles. The near-far effect generated by communications between mobile unmanned aerial vehicles is eliminated by introducing a NOMA, and position coordinates, system resource allocations and task offload decision schemes are solved by using a method of combining a DDPG algorithm in a Deep reinforcement learning with a genetic algorithm.