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公开(公告)号：US20210095141A1
公开(公告)日：2021-04-01
申请号：US17061548
申请日：2020-10-01
发明人： Michael J. Foshey , Timothy P. Erps , Mina Konakovic Lukovic , Wojciech Matusik , Wan Shou , Klaus Stoll , Bernhard Ulrich von Vacano , Hanns-Hagen Goetzke
IPC分类号： C09D11/101 , B29C64/112 , B29C64/124 , G06K9/62
摘要： Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.
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公开(公告)号：US20230364863A1
公开(公告)日：2023-11-16
申请号：US18225246
申请日：2023-07-24
发明人： Michael J. Foshey , Timothy P. Erps , Mina Konakovic Lukovic , Wojciech Matusik , Wan Shou , Klaus Stoll , Bernhard Ulrich von Vacano , Hanns Hagen Goetzke
IPC分类号： B29C64/393 , C09D11/101 , B29C64/124 , B29C64/112 , B33Y70/00 , G06F18/2415
CPC分类号： B29C64/393 , C09D11/101 , B29C64/124 , B29C64/112 , B33Y70/00 , G06F18/24155
摘要： Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.
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公开(公告)号：US11752700B2
公开(公告)日：2023-09-12
申请号：US17061548
申请日：2020-10-01
发明人： Michael J. Foshey , Timothy P. Erps , Mina Konakovic Lukovic , Wojciech Matusik , Wan Shou , Klaus Stoll , Bernhard Ulrich von Vacano , Hanns Hagen Goetzke
IPC分类号： B29C64/393 , C09D11/101 , B29C64/124 , B29C64/112 , B33Y70/00 , G06F18/2415
CPC分类号： B29C64/393 , B29C64/112 , B29C64/124 , B33Y70/00 , C09D11/101 , G06F18/24155
摘要： Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.
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公开(公告)号：US20210315485A1
公开(公告)日：2021-10-14
申请号：US17226564
申请日：2021-04-09
发明人： Wojciech Matusik , Antonio Torralba , Michael J. Foshey , Wan Shou , Yiyue Luo , Pratyusha Sharma , Yunzhu Li
摘要： Systems and methods are provided for estimating 3D poses of a subject based on tactile interactions with the ground. Test subject interactions with the ground are recorded using a sensor system along with reference information (e.g., synchronized video information) for use in correlating tactile information with specific 3D poses, e.g., by training a neural network based on the reference information. Then, tactile information received in response to a given subject interacting with the ground can be used to estimate the 3D pose of the given subject directly, i.e., without reference to corresponding reference information. Certain exemplary embodiments use a sensor system in the form of a pressure sensing carpet or mat, although other types of sensor systems using pressure or other sensors can be used in various alternative embodiments.
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公开(公告)号：US20240345548A1
公开(公告)日：2024-10-17
申请号：US18626653
申请日：2024-04-04
申请人： Massachusetts Institute of Technology , The Trustees of Princeton University , Institute of Science and Technology Austria , Universita Della Svizzera Italiana
发明人： Michael J. Foshey , Wojciech Matusik , Bernd Bickel , Michal Piovarci , Szymon Rusinkiewicz , Piotr Didyk
IPC分类号： G05B13/02
CPC分类号： G05B13/0265
摘要： A manufacturing system and method involves learning a self-correcting closed-loop control policy through machine reinforcement learning for a manufacturing process that involves on-the-fly adjustment of process parameters to handle inconsistencies in the manufacturing process and material formulations, and controlling operation of a tool configured to interact with or produce a product including dynamically adjusting at least one parameter of the manufacturing process to thereby dynamically adjust operation of the tool based on qualitative performance information derived from at least one sensor applied as feedback to the closed-loop control policy learned through machine reinforcement learning.
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