公开(公告)号：US20190380551A1

公开(公告)日：2019-12-19

申请号：US16454199

申请日：2019-06-27

Applicant: Brain Corporation

Inventor： Botond Szatmary ,  Vadim Polonichko

IPC: A47L9/28 ,  G06N3/00 ,  G05D1/02 ,  A47L9/00

Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.

公开(公告)号：US20190121365A1

公开(公告)日：2019-04-25

申请号：US16168368

申请日：2018-10-23

Applicant: Brain Corporation

Inventor： Jean-Baptiste Passot ,  Andrew Smith ,  Botond Szatmary ,  Borja Ibarz Gabardos ,  Cody Griffin ,  Jaldert Rambouts ,  Oleg Sinyavskiy ,  Eugene Izhikevich

IPC: G05D1/02 ,  A47L9/28 ,  A47L11/40 ,  G05D1/00

Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.

公开(公告)号：US09873196B2

公开(公告)日：2018-01-23

申请号：US14752688

申请日：2015-06-26

Applicant: Brain Corporation

Inventor： Botond Szatmary ,  Micah Richert

IPC: B25J5/00 ,  G05D1/02 ,  G06K9/00 ,  G06K9/62 ,  G06K9/20 ,  B25J9/16 ,  B25J11/00 ,  B25J19/06 ,  B60Q1/54 ,  B60Q9/00 ,  G01S17/00 ,  G01S17/02 ,  G01S17/46 ,  G01S17/89 ,  G01S17/93 ,  G01S7/51 ,  G01S15/93 ,  G01S13/93

CPC classification number: B25J5/00 ,  B25J9/1674 ,  B25J9/1676 ,  B25J11/0085 ,  B25J19/06 ,  B60Q1/54 ,  B60Q9/008 ,  G01S7/51 ,  G01S13/931 ,  G01S15/931 ,  G01S17/003 ,  G01S17/026 ,  G01S17/46 ,  G01S17/89 ,  G01S17/936 ,  G05D1/0214 ,  G05D1/0238 ,  G05D1/0242 ,  G06K9/00664 ,  G06K9/00771 ,  G06K9/00805 ,  G06K9/2036 ,  G06K9/209 ,  G06K9/6212 ,  G06K9/6215 ,  Y10S901/01

Abstract: Apparatus and methods for navigation of a robotic device configured to operate in an environment comprising objects and/or persons. Location of objects and/or persons may change prior and/or during operation of the robot. In one embodiment, a bistatic sensor comprises a transmitter and a receiver. The receiver may be spatially displaced from the transmitter. The transmitter may project a pattern on a surface in the direction of robot movement. In one variant, the pattern comprises an encoded portion and an information portion. The information portion may be used to communicate information related to robot movement to one or more persons. The encoded portion may be used to determine presence of one or more object in the path of the robot. The receiver may sample a reflected pattern and compare it with the transmitted pattern. Based on a similarity measure breaching a threshold, indication of object present may be produced.

公开(公告)号：US09717387B1

公开(公告)日：2017-08-01

申请号：US14632842

申请日：2015-02-26

Applicant: BRAIN CORPORATION

Inventor： Botond Szatmary ,  Vadim Polonichko

IPC: A47L11/40 ,  A47L9/00 ,  A47L9/28

CPC classification number: A47L9/2847 ,  A47L9/009 ,  A47L9/2805 ,  A47L9/2842 ,  A47L9/2852 ,  A47L2201/04 ,  A47L2201/06 ,  G05D1/0221 ,  G05D2201/0215 ,  G06N3/008 ,  G06N3/049

Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.

公开(公告)号：US20140250036A1

公开(公告)日：2014-09-04

申请号：US14198446

申请日：2014-03-05

Applicant: BRAIN CORPORATION

Inventor： Eugene M. Izhikevich ,  Botond Szatmary ,  Csaba Petre ,  Filip Piekniewski ,  Jayram Moorkanikara Nageswaran

IPC: G06N3/10

CPC classification number: G06N3/08 ,  G05B13/027 ,  G06N3/049 ,  G06N3/10

Abstract: A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. The software and hardware engines are optimized to take into account short-term and long-term synaptic plasticity in the form of LTD, LTP, and STDP.

Abstract translation: 公开了一种简单的格式，并被称为基本网络描述（END）。 该格式可以充分描述大规模神经元模型和软件或硬件引擎的实施例，以有效地模拟这种模型。 这种神经形态发动机的架构对于具有尖峰时间依赖可塑性的加标网络的高性能并行处理是最佳的。 软件和硬件引擎经过优化考虑了LTD，LTP和STDP形式的短期和长期突触可塑性。

公开(公告)号：US20140122399A1

公开(公告)日：2014-05-01

申请号：US13660967

申请日：2012-10-25

Applicant: BRAIN CORPORATION

Inventor： Botond Szatmary ,  Micah Richert

IPC: G06N3/02

CPC classification number: G06N3/049 ,  G06N3/063 ,  G06N3/088

Abstract: Apparatus and methods for plasticity in spiking neuron network. The network may comprise feature-specific units capable of responding to different objects (red and green color). Plasticity mechanism may be configured based on difference between two similarity measures related to activity of different unit types obtained during network training. One similarity measure may be based on activity of units of the same type (red). Another similarity measure may be based on activity of units of one type (red) and another type (green). Similarity measures may comprise a cross-correlogram and/or mutual information determined over an activity window. Several similarity estimates, corresponding to different unit-to-unit pairs may be combined. The combination may comprise a weighted average. During network operation, the activity based plasticity mechanism may be used to potentiate connections between units of the same type (red-red). The plasticity mechanism may be used to depress connections between units of different types (red-green).

Abstract translation: 尖峰神经元网络中可塑性的装置和方法。 网络可以包括能够响应不同对象（红色和绿色）的特征单元。 可塑性机制可以基于在网络训练期间获得的不同单元类型的活动的两个相似性度量之间的差异来配置。 一个相似性度量可以基于相同类型（红色）的单元的活动。 另一种相似性度量可以基于一种类型（红色）和另一种类型（绿色）的单位的活动。 相似性度量可以包括在活动窗口上确定的交叉相关图和/或相互信息。 可以组合对应于不同单元到单元对的几个相似性估计。 该组合可以包括加权平均值。 在网络运行期间，基于活动的可塑性机制可用于加强相同类型（红 - 红）单元之间的连接。 可塑性机制可用于抑制不同类型（红 - 绿）单元之间的连接。