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公开(公告)号:US20180210454A1
公开(公告)日:2018-07-26
申请号:US15877221
申请日:2018-01-22
Applicant: Built Robotics Inc.
Inventor: Noah Austen Ready-Campbell , Andrew Xiao Liang , Linus Page Chou , Edward Stephen Walker, JR. , Christian John Wawrzonek , Cyrus McMann Ready-Campbell
CPC classification number: G05D1/0274 , G01C21/20 , G01N33/24 , G05D1/0088 , G05D1/0219 , G05D1/0231 , G05D2201/0202 , G06K9/00791 , G06T7/74 , G06T17/05 , G06T2207/30248
Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.
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公开(公告)号:US12291846B2
公开(公告)日:2025-05-06
申请号:US18740441
申请日:2024-06-11
Applicant: Built Robotics Inc.
Inventor: Noah Austen Ready-Campbell , Martin Karlsson , Brian Lerner
Abstract: A robot generates a cell grid (e.g., occupancy grid) representation of a geographic area. The occupancy grid may include a plurality of evenly sized cells, and each cell may be assigned an occupancy status, which can be used to indicate the location of obstacles present in the geographic area. Footprints for the robot corresponding to a plurality of robot orientations and joint states may be generated and stored in a look-up table. The robot may generate a planned path for the robot to navigate within the geographic area by generating a plurality of candidate paths, each candidate path comprising a plurality of candidate robot poses. For each candidate robot pose, the robot may query the look-up table for a corresponding robot footprint to determine if a collision will occur.
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公开(公告)号:US12215475B2
公开(公告)日:2025-02-04
申请号:US18462140
申请日:2023-09-06
Applicant: Built Robotics Inc.
Abstract: A pile plan map indicating a plurality of locations in a geographic area at which piles are to be installed is accessed. A first set of locations is identified from the plurality of locations and a first set of piles to be driven into the ground at the first set of locations using the pile plan map is identified. An order for driving the first set of piles into the ground is identified and a pile type for each of the first set of piles is identified. Basket assembly instructions are generated for assembling the first set of piles into a basket based on the identified order and the identified pile types. The first set of piles are assembled autonomously or manually into the basket based on the generated basket assembly instructions.
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公开(公告)号:US20250003189A1
公开(公告)日:2025-01-02
申请号:US18740441
申请日:2024-06-11
Applicant: Built Robotics Inc.
Inventor: Noah Austen Ready-Campbell , Martin Karlsson , Brian Lerner
IPC: E02F9/20
Abstract: A robot generates a cell grid (e.g., occupancy grid) representation of a geographic area. The occupancy grid may include a plurality of evenly sized cells, and each cell may be assigned an occupancy status, which can be used to indicate the location of obstacles present in the geographic area. Footprints for the robot corresponding to a plurality of robot orientations and joint states may be generated and stored in a look-up table. The robot may generate a planned path for the robot to navigate within the geographic area by generating a plurality of candidate paths, each candidate path comprising a plurality of candidate robot poses. For each candidate robot pose, the robot may query the look-up table for a corresponding robot footprint to determine if a collision will occur.
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公开(公告)号:US12180670B1
公开(公告)日:2024-12-31
申请号:US18616188
申请日:2024-03-26
Applicant: Built Robotics Inc.
Inventor: Anthony Guolla , Brian Lerner , Noah Austen Ready-Campbell , Andrew Xiao Liang
Abstract: An autonomous pile driving system comprises an arm of an autonomous offroad vehicle (AOV) configured to hold and drive a pile, a chute configured to stabilize the pile as the pile is being driven. The autonomous pile driving system further comprises a controller configured to identify a location in the geographic area where a pile is to be driven (e.g., installed) and position the chute at the location. The controller aligns the pile secured by the AOV with an opening of the chute and inserts the pile into the chute by actuating an arm (or other suitable component) of the AOV securing the pile.
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公开(公告)号:US12037769B1
公开(公告)日:2024-07-16
申请号:US18343753
申请日:2023-06-29
Applicant: Built Robotics Inc.
Inventor: Noah Austen Ready-Campbell , Martin Karlsson , Brian Lerner
CPC classification number: E02F9/2045 , E02F9/205 , G05D1/0214 , G05D1/0274
Abstract: A robot generates a cell grid (e.g., occupancy grid) representation of a geographic area. The occupancy grid may include a plurality of evenly sized cells, and each cell may be assigned an occupancy status, which can be used to indicate the location of obstacles present in the geographic area. Footprints for the robot corresponding to a plurality of robot orientations and joint states may be generated and stored in a look-up table. The robot may generate a planned path for the robot to navigate within the geographic area by generating a plurality of candidate paths, each candidate path comprising a plurality of candidate robot poses. For each candidate robot pose, the robot may query the look-up table for a corresponding robot footprint to determine if a collision will occur.
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公开(公告)号:US11822342B1
公开(公告)日:2023-11-21
申请号:US18085881
申请日:2022-12-21
Applicant: Built Robotics Inc.
IPC: G05D1/02
CPC classification number: G05D1/0274 , G05D2201/0202
Abstract: An autonomous off-road vehicle (AOV) accesses a pile plan map indicating a plurality of locations within a geographic area at which piles are to be installed. The AOV generates an obstacle map indicating locations of obstacles within the geographic area. The AOV autonomously navigates to a first location of the plurality of locations using the pile plan map. In response to driving a pile into the ground at the first location, the AOV modifies the obstacle map to include a representation of the pile at the first location. The AOV autonomously navigates to a second location of the plurality of locations using the pile plan map. In response to driving a pile into ground at the second location, the AOV modifies the obstacle map that includes the representation of the pile at the first location to further include a representation of the pile at the second location.
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公开(公告)号:US11709496B2
公开(公告)日:2023-07-25
申请号:US16931292
申请日:2020-07-16
Applicant: Built Robotics Inc.
Inventor: Noah Austen Ready-Campbell , Andrew Xiao Liang , Christian John Wawrzonek , Cyrus McMann Ready-Campbell , Gaurav Jitendra Kikani
CPC classification number: G05D1/0219 , G01C21/20 , G05D2201/0202
Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable determining a route between a start point and an end point in a site and navigating over the route. The sensors collect any or more of spatial, imaging, measurement, and location data to detect an obstacle between two locations within the site. Based on the collected data and identified obstacles, the excavation vehicle generates unobstructed routes circumventing the obstacles, obstructed routes traveling through the obstacles, and instructions for removing certain modifiable obstacles. The excavation vehicle determines and selects the shortest route of the unobstructed and obstructed route and navigates over the selected path to move within the site.
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公开(公告)号:US11680384B2
公开(公告)日:2023-06-20
申请号:US17190828
申请日:2021-03-03
Applicant: Built Robotics Inc.
CPC classification number: E02F9/205 , E02F9/267 , G05D1/0016 , G05D1/0214 , G05D1/0238 , G05D1/0278 , G05D2201/0202
Abstract: An earth moving vehicle (EMV) autonomously performs an earth moving operation within a dig site. If the EMV determines that a state of the EMV or the dig site triggers a triggering condition associated with a pause in the autonomous behavior of the EMV, the EMV determines a risk associated with the state or triggering condition. If the risk is greater than a first threshold, the EMV continues the autonomous performance and notifies a remote operator that the triggering condition was triggered. If the risk is greater than the first threshold risk but less than a second threshold risk, the EMV is configured to operate in a default state before continuing and notifying the remote operator. If the risk is greater than the second threshold risk, the EMV notifies the remote operator of the state pauses the performance until feedback is received from the remote operator.
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公开(公告)号:US20230031524A1
公开(公告)日:2023-02-02
申请号:US17964038
申请日:2022-10-12
Applicant: Built Robotics Inc.
Inventor: Noah Austen Ready-Campbell , Gaurav Jitendra Kikani , Andrew Liang , Pradeesh Suganthan , James Alan Emerick , Sarah Marie Thornton , Ammar Idris Kothari , Edward Joseph Garza
Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to perform an excavation routine by excavating earth from a hole using an excavation tool positioned at a single location within the site. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, navigating the excavation vehicle over a distance while continuously excavating earth from a below surface depth, and preparing a digital terrain model of the site as part of a process for creating the excavation routine.
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