Patent Assignment
Reel/Frame 063992/0371
Assignment of Assignor's Interest
Recorded: 2023-06-14
Pages: 40
Assignor
X DEVELOPMENT LLC
Executed: 2023-04-01
Assignee
GOOGLE LLC
1600 AMPHITHEATRE PARKWAY, MOUNTAIN VIEW, CALIFORNIA, 94043
Covered Properties
(146)
Authorizing Robot Use and/or Adapting Physical Control Parameters for a Robot
Patent:
10,019,566 →
Application:
15/099,203 →
Space Extrapolation for Robot Task Performance
Patent:
10,058,997 →
Application:
15/184,725 →
Space Extrapolation for Robot Task Performance
Patent:
11,027,425 →
Application:
16/041,164 →
Robot Control
Patent:
10,493,617 →
Application:
15/331,437 →
Robot Control
Patent:
11,253,990 →
Application:
16/654,658 →
Robot Control
Patent:
11,745,332 →
Application:
17/573,458 →
Robot Task Optimization Based on Historical Task and Location Correlated Durations
Patent:
10,173,320 →
Application:
15/177,321 →
Robot Task Optimization Based on Historical Task and Location Correlated Durations
Patent:
11,235,464 →
Application:
16/200,945 →
Robot Task Optimization Based on Historical Task and Location Correlated Durations
Patent:
11,878,425 →
Application:
17/562,513 →
Operating Multiple Testing Robots Based on Robot Instructions and/or Environmental Parameters Received in a Request
Patent:
10,058,995 →
Application:
15/205,760 →
Operating Multiple Testing Robots Based on Robot Instructions and/or Environmental Parameters Received in a Request
Patent:
10,427,296 →
Application:
16/051,638 →
Operating Multiple Testing Robots Based on Robot Instructions and/or Environmental Parameters Received in a Request
Patent:
10,981,270 →
Application:
16/530,711 →
Operating Multiple Testing Robots Based on Robot Instructions and/or Environmental Parameters Received in a Request
Patent:
11,565,401 →
Application:
17/208,683 →
Operating Multiple Testing Robots Based on Robot Instructions and/or Environmental Parameters Received in a Request
Patent:
12,049,004 →
Application:
18/103,312 →
Real Time Robot Collision Avoidance
Patent:
10,131,053 →
Application:
15/265,547 →
Selectively Downloading Targeted Object Recognition Modules
Selectively Downloading Targeted Object Recognition Modules
Delegation of Object and Pose Detection
Delegation of Object and Pose Detection
Delegation of Object and Pose Detection
Adapting Programming of a Robot and/or Control of the Robot Based on One or More Parameters of an End Effector of the Robot
Patent:
9,687,982 →
Application:
14/723,349 →
Adapting Programming of a Robot and/or Control of the Robot Based on One or More Parameters of an End Effector of the Robot
Patent:
10,166,674 →
Application:
15/599,221 →
Determining Grasping Parameters for Grasping of an Object by a Robot Grasping End Effector
Patent:
10,089,575 →
Application:
14/723,373 →
Determining Grasping Parameters for Grasping of an Object by a Robot Grasping End Effector
Patent:
11,341,406 →
Application:
16/133,409 →
Generating a Trained Robot Path Based on Physical Manipulation of the Robot and Based on Training User Interface Input(S) Associated with the Physical Manipulation
Patent:
9,925,662 →
Application:
14/752,966 →
Real Time Robot Implementation of State Machine
Patent:
10,035,264 →
Application:
14/797,529 →
Generating Robot Trajectories Using a Real Time Trajectory Generator and a Path Optimizer
Patent:
10,035,266 →
Application:
15/376,011 →
Visual Annotations in Robot Control Interfaces
Patent:
9,895,809 →
Application:
14/831,549 →
Visual Annotations in Robot Control Interfaces
Patent:
10,737,389 →
Application:
15/864,870 →
Visual Annotations in Robot Control Interfaces
Patent:
11,577,396 →
Application:
16/929,874 →
Selective Robot Deployment
Patent:
9,796,091 →
Application:
14/827,784 →
Selective Robot Deployment
Patent:
10,933,531 →
Application:
15/694,350 →
Replacing a First Robot with a Second Robot During Performance of a Task by the First Robot
Patent:
9,821,455 →
Application:
14/821,730 →
Replacing a First Robot with a Second Robot During Performance of a Task by the First Robot
Patent:
10,596,695 →
Application:
15/727,199 →
Replacing a First Robot with a Second Robot During Performance of a Task by the First Robot
Patent:
10,913,146 →
Application:
16/826,956 →
Using Observations from One or More Robots to Generate a Spatio-Temporal Model That Defines Pose Values for a Plurality of Objects in an Environment
Patent:
9,691,151 →
Application:
14/834,980 →
Using Observations from One or More Robots to Generate a Spatio-Temporal Model That Defines Pose Values for a Plurality of Objects in an Environment
Patent:
10,127,677 →
Application:
15/599,232 →
Generating a Grasp Affordance for an Object Based on a Thermal Image of the Object That Is Captured Following Human Manipulation of the Object
Patent:
9,616,568 →
Application:
14/835,424 →
Selectively Uploading Operational Data Generated by Robot Based on Physical Communication Link Attribute
Patent:
10,307,909 →
Application:
14/875,634 →
Selectively Uploading Operational Data Generated by Robot Based on Physical Communication Link Attribute
Patent:
10,639,797 →
Application:
16/384,843 →
Generating an Image-Based Identifier for a Stretch Wrapped Loaded Pallet Based on Images Captured in Association with Application of Stretch Wrap to the Loaded Pallet
Patent:
9,826,213 →
Application:
14/861,825 →
Generating an Image-Based Identifier for a Stretch Wrapped Loaded Pallet Based on Images Captured in Association with Application of Stretch Wrap to the Loaded Pallet
Patent:
10,491,881 →
Application:
15/799,981 →
Generating an Image-Based Identifier for a Stretch Wrapped Loaded Pallet Based on Images Captured in Association with Application of Stretch Wrap to the Loaded Pallet
Patent:
10,616,553 →
Application:
16/665,232 →
Generating an Image-Based Identifier for a Stretch Wrapped Loaded Pallet Based on Images Captured in Association with Application of Stretch Wrap to the Loaded Pallet
Patent:
11,228,751 →
Application:
16/811,206 →
Methods and Apparatus for Determining the Pose of an Object Based on Point Cloud Data
Patent:
9,868,212 →
Application:
15/046,870 →
Methods and Apparatus for Determining the Pose of an Object Based on Point Cloud Data
Patent:
10,500,727 →
Application:
15/811,484 →
Methods and Apparatus for Determining the Pose of an Object Based on Point Cloud Data
Patent:
11,192,250 →
Application:
16/665,273 →
Neural Network Modules
Patent:
10,748,057 →
Application:
15/272,112 →
Neural Network Modules
Patent:
11,615,291 →
Application:
16/918,181 →
Generating a Model for an Object Encountered by a Robot
Generating a Model for an Object Encountered by a Robot
Generating a Model for an Object Encountered by a Robot
Generating a Model for an Object Encountered by a Robot
Generating a Robot Control Policy from Demonstrations Collected via Kinesthetic Teaching of a Robot
Related to Generating a Robot Control Policy from Demonstrations Collected via Kinesthetic Teaching of a Robot
Generating a Robot Control Policy from Demonstrations Collected via Kinesthetic Teaching of a Robot
Generating a Robot Control Policy from Demonstrations Collected via Kinesthetic Teaching of a Robot
Determining and Utilizing Corrections to Robot Actions
Determining and Utilizing Corrections to Robot Actions
Determining and Utilizing Corrections to Robot Actions
Generating and Utilizing Non-Uniform Volume Measures for Voxels in Robotics Applications
Patent:
10,303,180 →
Application:
15/492,647 →
Generating and Utilizing Non-Uniform Volume Measures for Voxels in Robotics Applications
Patent:
10,671,081 →
Application:
16/386,189 →
Update of Local Features Model Based on Correction to Robot Action
Update of Local Features Model Based on Correction to Robot Action
Generating and Utilizing Spatial Affordances for an Object in Robotics Applications
Patent:
10,354,139 →
Application:
15/724,067 →
Generating and Utilizing Spatial Affordances for an Object in Robotics Applications
Patent:
10,853,646 →
Application:
16/453,145 →
Generating Simulated Training Examples for Training of Machine Learning Model Used for Robot Control
Patent:
11,494,632 →
Application:
15/835,357 →
Generating Simulated Training Examples for Training of Machine Learning Model Used for Robot Control
Patent:
11,823,048 →
Application:
17/979,565 →
Machine Learning Methods and Apparatus for Robotic Manipulation and That Utilize Multi-Task Domain Adaptation
Machine Learning Methods and Apparatus for Robotic Manipulation and That Utilize Multi-Task Domain Adaptation
Learning and Applying Empirical Knowledge of Environments by Robots
Learning and Applying Empirical Knowledge of Environments by Robots
Grasping of an Object by a Robot Based on Grasp Strategy Determined Using Machine Learning Model(S)
Grasping of an Object by a Robot Based on Grasp Strategy Determined Using Machine Learning Model(S)
Robot Interaction with Objects Based on Semantic Information Associated with Embedding Spaces
Robot Interaction with Objects Based on Semantic Information Associated with Embedding Spaces
Machine Learning Methods and Apparatus for Automated Robotic Placement of Secured Object in Appropriate Location
Machine Learning Methods and Apparatus for Automated Robotic Placement of Secured Object in Appropriate Location
Offline Computation and Caching of Precalculated Joint Trajectories
Patent:
10,946,519 →
Application:
16/205,427 →
Action Prediction Networks for Robotic Grasping
Mitigating Reality Gap Through Optimization of Simulated Hardware Parameter(S) of Simulated Robot
Patent:
11,213,946 →
Application:
16/234,289 →
Mitigating Reality Gap Through Modification of Simulated State Data of Robotic Simulator
Patent:
11,461,589 →
Application:
16/267,077 →
Mitigating Reality Gap Through Modification of Simulated State Data of Robotic Simulator
Patent:
11,790,042 →
Application:
17/896,519 →
Mitigating Reality Gap Through Simulating Compliant Control and/or Compliant Contact in Robotic Simulator
Robotic Control Based on 3D Bounding Shape, for an Object, Generated Using Edge-Depth Values for the Object
Generating Reinforcement Learning Data That Is Compatible with Reinforcement Learning for a Robotic Task
Patent:
11,610,153 →
Application:
16/729,712 →
Using Adjustable Vision Component for on-Demand Vision Data Capture of Areas Along a Predicted Trajectory of a Robot
Application:
16/580,714 →
Publication:
US US20210080970A1
Generating and/or Using Training Instances That Include Previously Captured Robot Vision Data and Drivability Labels
Robot Collision Detection Using Cascading Variational Autoencoder
Asynchronous Robotic Control Using Most Recently Selected Robotic Action Data
Patent:
11,685,045 →
Application:
16/948,187 →
Robotic Control Using Value Distributions
Patent:
11,571,809 →
Application:
17/017,920 →
Robotic Control Using Action Image(S) and Critic Network
Training a Policy Model for a Robotic Task, Using Reinforcement Learning and Utilizing Data That Is Based on Episodes, of the Robotic Task, Guided by an Engineered Policy
Simulating Multiple Robots in Virtual Environments
Simulation Driven Robotic Control of Real Robot(S)
Training a Simulation-to-Real Model, Based on Perception Losses, to Mitigate Reality Gap in Robotics and/or Other Applications
Patent:
12,688,341 →
Application:
15/929,471 →
Single Iteration, Multiple Permutation Robot Simulation
Patent:
11,654,550 →
Application:
17/097,785 →
Controlling Multiple Simulated Robots with a Single Robot Controller
Application:
17/197,651 →
Publication:
US US20220288782A1
Utilizing Past Contact Physics in Robotic Manipulation (E.G., Pushing) of an Object
System(S) and Method(S) of Using Imitation Learning in Training and Refining Robotic Control Policies
Re-Simulation of Recorded Episodes
Patent:
12,168,296 →
Application:
17/463,870 →
Injecting Noise into Robot Simulation
Patent:
11,845,190 →
Application:
17/336,986 →
Learning Robotic Skills with Imitation and Reinforcement at Scale
Application:
17/843,288 →
Publication:
US US20220410380A1
Using Embeddings, Generated Using Robot Action Models, in Controlling Robot to Perform Robotic Task
Application:
18/102,053 →
Publication:
US US20240100693A1
Training with High Fidelity Simulations and High Speed Low Fidelity Simulations
Training Robot Control Policies
Application:
17/890,783 →
Publication:
US US20240058954A1
Imitation Robot Control Stack Models
Patent:
12,377,536 →
Application:
17/985,528 →
Robot Control Based on Natural Language (Nl) Input and Based on Descriptor(S) of Object(S) That Are Present in Environment with Robot and Relevant to the Nl Input
Application:
63/407,019 →
System(S) and Method(S) of Using Behavioral Cloning Value Approximation in Training and Refining Robotic Control Policies
Application:
63/407,134 →
System(S) and Method(S) of Using Behavioral Cloning Value Approximation in Training and Refining Robotic Control Policies
Application:
63/408,714 →
Robot Navigation in Dependence on Gesture(S) of Human(S) in Environment with Robot
Application:
63/407,429 →
Generating Robot Trajectories Using a Real Time Trajectory Generator and a Path Optimizer
Application:
62/280,017 →
Generating and Utilizing Spatial Affordances for an Object in Robotics Applications
Application:
62/555,525 →
Machine Learning Methods and Apparatus for Robotic Manipulation and That Utilize Multi-Task Domain Adaptation
Application:
62/559,279 →
Action Prediction Networks for Robotic Grasping
Application:
62/731,854 →
Using Adjustable Vision Component for on-Demand Vision Data Capture of Areas Along a Predicted Trajectory of a Robot
Application:
62/901,201 →
Asynchronous Robotic Control Using Most Recently Selected Robotic Action Data
Application:
62/897,873 →
Robotic Control Using Value Distributions
Application:
62/900,604 →
Robotic Control Using Action Image(S) and Critic Network
Application:
62/900,571 →
Simulation Driven Robotic Control of Real Robot(S)
Application:
63/132,582 →
Utilizing Past Contact Physics in Robotic Manipulation (E.G., Pushing) of an Object
Application:
63/108,317 →
Learning Robotic Skills with Imitation and Reinforcement at Scale
Application:
63/212,026 →
Using Embeddings, Generated Using Robot Action Models, in Controlling Robot to Perform Robotic Task
Application:
63/303,912 →
Mitigating Reality Gap Through Feature-Level Domain Adaptation in Training of Vision-Based Robot Action Model
Application:
63/280,039 →
Mitigating Reality Gap Through Feature-Level Domain Adaptation in Training of Vision-Based Robot Action Model
Training a Policy Model for a Robotic Task, Using Reinforcement Learning and Utilizing Data That Is Based on Episodes, of the Robotic Task, Guided by an Engineered Policy
PCT:
PCT/US2022/013635 ↗
Simulating Multiple Robots in Virtual Environments
PCT:
PCT/US2021/054369 ↗
Simulation Driven Robotic Control of Real Robot(S)
PCT:
PCT/US2021/065353 ↗
Controlling Multiple Simulated Robots with a Single Robot Controller
PCT:
PCT/US2022/019128 ↗
System(S) and Method(S) of Using Imitation Learning in Training and Refining Robotic Control Policies
PCT:
PCT/US2022/015252 ↗
Using Embeddings, Generated Using Robot Action Models, in Controlling Robot to Perform Robotic Task
PCT:
PCT/US2023/011715 ↗
Selectively Downloading Targeted Object Recognition Modules
PCT:
PCT/US2017/045584 ↗
Delegation of Object and Pose Detection
PCT:
PCT/US2017/042455 ↗
Generating a Model for an Object Encountered by a Robot
PCT:
PCT/US2017/044933 ↗
Improvements Related to Generating a Robot Control Policy from Deminstrations Collected via Kinesthetic Teaching or a Robot
PCT:
PCT/US2018/017461 ↗
Determining and Utilizing Corrections to Robot Actions
PCT:
PCT/US2018/040641 ↗
Machine Learning Methods and Apparatus for Robotic Manipulation and That Utilize Multi-Task Domain Adaptation
PCT:
PCT/US2018/051175 ↗
Learning and Applying Empirical Knowledge of Environments by Robots
PCT:
PCT/US2018/063851 ↗
Grasping of an Object by a Robot Based on Grasp Strategy Determined Using Machine Learning Model(S)
PCT:
PCT/US2019/012147 ↗
Robot Interaction with Objects Based on Semantic Information Associated with Embedding Spaces
PCT:
PCT/US2018/066501 ↗
Machine Learning Methods and Apparatus for Automated Robotic Placement of Secured Object in Appropriate Location
PCT:
PCT/US2019/057489 ↗
Mitigating Reality Gap Through Simulating Compliant Control and/or Compliant Contact in Robotic Simulator
PCT:
PCT/US2020/055479 ↗
Robotic Control Based on 3D Bounding Shape, for an Object, Generated Using Edge-Depth Values for the Object
PCT:
PCT/US2020/034753 ↗
Using Adjustable Vision Component for on-Demand Vision Data Capture of Areas Along a Predicted Trajectory of a Robot
PCT:
PCT/US2020/050834 ↗
Robotic Control Using Action Image(S) and Critic Network
PCT:
PCT/US2020/050827 ↗
Update of Local Features Model Based on Correction to Robot Action
PCT:
PCT/US2018/040644 ↗
Related Assignments
(25)
Other recorded transfers of the patents in this record — the chain of ownership.
Assignment of Assignor's Interest
May 28, 2015
From: REDMON, JOSEPH; ANGELOVA, ANELIA
To: GOOGLE INC.
Reel/Frame 035738/0215 →
Assignment of Assignor's Interest
May 28, 2015
From: JULES, ANTHONY SEAN; JESSEN, JOHAN ULRICH LEWIN; DAVIS, BENJAMIN M.
To: GOOGLE INC.
Reel/Frame 035738/0213 →
Assignment of Assignor's Interest
Apr 15, 2016
From: GALLAGHER, GARRATT
To: GOOGLE INC.
Reel/Frame 038294/0389 →
Assignment of Assignor's Interest
Jul 19, 2016
From: RAJKUMAR, NARESHKUMAR; HINTERSTOISSER, STEFAN
To: GOOGLE INC.
Reel/Frame 039183/0040 →
Assignment of Assignor's Interest
Aug 4, 2016
From: SAMPEDRO, PETER; KALAKRISHNAN, MRINAL; VALDOVINOS, ALI; LI, ADRIAN
To: GOOGLE INC.
Reel/Frame 039346/0313 →
Assignment of Assignor's Interest
Aug 4, 2016
From: RAJKUMAR, NARESHKUMAR; HINTERSTOISSER, STEFAN
To: GOOGLE INC.
Reel/Frame 039346/0338 →
Assignment of Assignor's Interest
Aug 4, 2016
From: PRISAMENT, GREGORY; STOIA, LAURA; WU, YUCHEN; THOMPSON, ALAN
To: GOOGLE INC.
Reel/Frame 039346/0185 →
Assignment of Assignor's Interest
Aug 4, 2016
From: CHAO, CRYSTAL
To: GOOGLE INC.
Reel/Frame 039346/0142 →
Assignment of Assignor's Interest
Aug 8, 2016
From: RAJKUMAR, NARESHKUMAR; HINTERSTOISSER, STEFAN; BAJRACHARYA, MAX
To: GOOGLE INC.
Reel/Frame 039360/0603 →
Assignment of Assignor's Interest
Sep 1, 2016
From: GOOGLE INC.
To: X DEVELOPMENT LLC
Reel/Frame 039900/0610 →
Assignment of Assignor's Interest
Sep 16, 2016
From: SAMPEDRO, PETER PASTOR; NAGARAJAN, UMASHANKAR
To: X DEVELOPMENT LLC
Reel/Frame 039762/0599 →
Assignment of Assignor's Interest
Apr 21, 2017
From: HOLSON, BENJAMIN; BINGHAM, JEFFREY; BERKOWITZ, BEN
To: X DEVELOPMENT LLC
Reel/Frame 042088/0750 →
Assignment of Assignor's Interest
May 19, 2017
From: GOOGLE INC.
To: X DEVELOPMENT LLC
Reel/Frame 042502/0840 →
Assignment of Assignor's Interest
May 19, 2017
From: JULES, ANTHONY SEAN; JESSEN, JOHAN ULRICH LEWIN; DAVIS, BENJAMIN M.
To: GOOGLE INC.
Reel/Frame 042440/0034 →
Change of Name
Oct 6, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044144/0001 →
Assignment of Assignor's Interest
Jun 21, 2018
From: RAJKUMAR, NARESHKUMAR; HINTERSTOISSER, STEFAN
To: X DEVELOPMENT LLC
Reel/Frame 046163/0828 →
Assignment of Assignor's Interest
Jul 24, 2018
From: CHAO, CRYSTAL
To: GOOGLE INC.
Reel/Frame 046444/0330 →
Assignment of Assignor's Interest
Jul 24, 2018
From: GOOGLE INC.
To: X DEVELOPMENT LLC
Reel/Frame 046620/0355 →
Assignment of Assignor's Interest
Feb 6, 2019
From: GOOGLE INC.
To: X DEVELOPMENT LLC
Reel/Frame 048278/0139 →
Assignment of Assignor's Interest
Feb 6, 2019
From: RAJKUMAR, NARESHKUMAR; HINTERSTOISSER, STEFAN; BAJRACHARYA, MAX
To: GOOGLE INC.
Reel/Frame 048254/0900 →
Assignment of Assignor's Interest
Apr 8, 2019
From: GOOGLE INC.
To: X DEVELOPMENT LLC
Reel/Frame 048820/0282 →
Assignment of Assignor's Interest
Apr 8, 2019
From: SAMPEDRO, PETER; KALAKRISHNAN, MRINAL; VALDOVINOS, ALI; LI, ADRIAN
To: GOOGLE INC.
Reel/Frame 048817/0642 →
Assignment of Assignor's Interest
Jun 26, 2019
From: GOOGLE INC.
To: X DEVELOPMENT LLC
Reel/Frame 049595/0494 →
Assignment of Assignor's Interest
Jun 26, 2019
From: PRISAMENT, GREGORY; STOIA, LAURA; WU, YUCHEN; THOMPSON, ALAN
To: GOOGLE INC.
Reel/Frame 049595/0486 →
Assignment of Assignor's Interest
Aug 2, 2019
From: PASTOR SAMPEDRO, PETER; KALAKRISHNAN, MRINAL; VALDOVINOS, ALI YAHYA; LI, ADRIAN
To: GOOGLE INC.
Reel/Frame 049946/0786 →