公开(公告)号：US20240185052A1

公开(公告)日：2024-06-06

申请号：US17972854

申请日：2022-10-25

Applicant: Honda Motor Co., Ltd.

Inventor： Alireza REZAZADEH ,  Nawid JAMALI ,  Soshi IBA

IPC: G06N3/08 ,  G06K9/62

CPC classification number: G06N3/08 ,  G06K9/6232 ,  G06K9/6296

Abstract: According to one aspect, a robot for proprioceptive learning may include a set of sensors, a memory, and a processor. The processor may perform receiving a set of sensor reading data from the set of sensors, receiving a set of sensor position data associated with the set of sensors, constructing a first graph representation based on the set of sensor reading data, constructing a second graph representation based on the set of sensor position data, performing message passing operation between nodes of the first graph representation and the second graph representation to update the first graph representation and the second graph representation, and executing a task based on readouts from the updated first graph representation and the updated second graph representation.

公开(公告)号：US20240062410A1

公开(公告)日：2024-02-22

申请号：US17891185

申请日：2022-08-19

Applicant: Honda Motor Co., Ltd.

Inventor： Alireza REZAZADEH ,  Nawid JAMALI ,  Soshi IBA

IPC: G06T7/73 ,  G06T7/55 ,  G06T7/11 ,  G06V10/50

CPC classification number: G06T7/73 ,  G06T7/55 ,  G06T7/11 ,  G06V10/50 ,  G06T2207/20016 ,  G06T2207/10028 ,  G06T2207/10024 ,  G06T2207/20132 ,  G06T2207/20081

Abstract: A system and method for multimodal object-centric representation learning that include receiving data associated with an image and a depth map of an object. The system and method also include determining an object-surface point cloud based on the image and the depth map. The system and method additionally include determining multi-resolution receptive fields based on the object-surface point cloud. The system and method further include passing the multi-resolution receptive fields through convolutional encoders to learn an object centric representation of the object.