公开(公告)号：US11488026B2

公开(公告)日：2022-11-01

申请号：US16535668

申请日：2019-08-08

Applicant: Tata Consultancy Services Limited

Inventor： Swarnava Dey ,  Arijit Mukherjee ,  Arpan Pal ,  Balamuralidhar Purushothaman

IPC: G06N3/10 ,  G06N3/04 ,  G06N3/08 ,  H04L41/142

Abstract: A growing need for inferencing to be run on fog devices exists, in order to reduce the upstream network traffic. However, being computationally constrained in nature, executing complex deep inferencing models on such devices has been proved difficult. A system and method for partitioning of deep convolution neural network for execution of computationally constraint devices at a network edge has been provided. The system is configured to use depth wise input partitioning of convolutional operations in deep convolutional neural network (DCNN). The convolution operation is performed based on an input filter depth and number of filters for determining the appropriate parameters for partitioning based on an inference speedup method. The system uses a master-slave network for partitioning the input. The system is configured to address these problems by depth wise partitioning of input which ensures speedup inference of convolution operations by reducing pixel overlaps.

公开(公告)号：US11141858B2

公开(公告)日：2021-10-12

申请号：US16210512

申请日：2018-12-05

Applicant: Tata Consultancy Services Limited

Inventor： Avik Ghose ,  Swarnava Dey ,  Arijit Mukherjee

IPC: B25J9/16

Abstract: A data driven approach for fault detection in robotic actuation is disclosed. Here, a set of robotic tasks are received and analyzed by a Deep Learning (DL) analytics. The DL analytics includes a stateful (Long Short Term Memory) LSTM. Initially, the stateful LSTM is trained to match a set of activities associated with the robots based on a set of tasks gathered from the robots in a multi robot environment. Here, the stateful LSTM utilizes a master slave framework based load distribution technique and a probabilistic trellis approach to predict a next activity associated with the robot with minimum latency and increased accuracy. Further, the predicted next activity is compared with an actual activity of the robot to identify any faults associated robotic actuation.

公开(公告)号：US10751881B2

公开(公告)日：2020-08-25

申请号：US15900880

申请日：2018-02-21

Applicant: Tata Consultancy Services Limited

Inventor： Swarnava Dey ,  Swagata Biswas ,  Arijit Mukherjee

IPC: B25J9/16 ,  G05D1/02 ,  B25J9/00

Abstract: In current distributed simultaneous localization and mapping (SLAM) implementations on multiple robots in a robotic cluster, failure of a leader robot terminates a map building process between multiple robots. Therefore, a technique for fault-tolerant SLAM in robotic clusters is disclosed. In this technique, robotic localization and mapping SLAM is executed in a resource constrained robotic cluster such that the distributed SLAM is executed in a reliable fashion and self-healed in case of failure of the leader robot. To ensure fault tolerance, the robots are enabled, by time series analysis, to find their individual failure probabilities and use that to enhance cluster reliability in a distributed manner.

公开(公告)号：US11249488B2

公开(公告)日：2022-02-15

申请号：US15824758

申请日：2017-11-28

Applicant: Tata Consultancy Services Limited

Inventor： Swarnava Dey ,  Arijit Mukherjee

IPC: G05D1/02 ,  H04L29/08 ,  G06Q10/06 ,  B25J9/16 ,  G05B19/418

Abstract: A system and method for offloading scalable robotic tasks in a mobile robotics framework. The system comprises a cluster of mobile robots and they are connected with a back-end cluster infrastructure. It receives scalable robotic tasks at a mobile robot of the cluster. The scalable robotics tasks include building a map of an unknown environment by using the mobile robot, navigating the environment using the map and localizing the mobile robot on the map. Therefore, the system estimate the map of an unknown environment and at the same time it localizes the mobile robot on the map. Further, the system analyzes the scalable robotics tasks based on computation, communication load and energy usage of each scalable robotic task. And finally the system priorities the scalable robotic tasks to minimize the execution time of the tasks and partitioning the SLAM with computation offloading in edge network and mobile cloud server setup.

公开(公告)号：US11141856B2

公开(公告)日：2021-10-12

申请号：US16268952

申请日：2019-02-06

Applicant: Tata Consultancy Services Limited

Inventor： Subhrojyoti Roy Chaudhuri ,  Amar Satyabroto Banerjee ,  Puneet Patwari ,  Arijit Mukherjee ,  Ajay Kattepur ,  Balamuralidhar Purushothaman ,  Arpan Pal ,  Sounak Dey ,  Chayan Sarkar

IPC: B25J9/16

Abstract: Systems and methods for generating control system solutions for robotics environments is provided. The traditional systems and methods provide robotics solutions but specialized to only a particular robotic application, domain, and selected structure. The embodiments of the proposed disclosure provide for generating one or more control system solutions for a plurality of robotics environment by acquiring a robotics domain knowledge corresponding to the plurality of robotics environments; extracting one or more solution specifications based upon the robotics domain knowledge; translating the one or more solution specifications into one or more design solutions; generating, the one or more control system solutions for the plurality of robotics environments; and optimizing the one or more control system solutions generated by performing, based upon a set of task execution logs executed, a close loop verification to validate a plurality of commands and a plurality of state transitions executing in the plurality of robotics environments.

公开(公告)号：US10948918B2

公开(公告)日：2021-03-16

申请号：US16190894

申请日：2018-11-14

Applicant: Tata Consultancy Services Limited

Inventor： Sounak Dey ,  Arijit Mukherjee ,  Aritra Sarkar

IPC: G05D1/02 ,  G01C21/00 ,  G01C21/20 ,  G01C21/32 ,  G01C21/34 ,  G05D1/00

Abstract: Path planning for a robot is a compute intensive task. For a dynamic environment this is more cumbersome where position and orientation of objects changes often. Embodiments of the present disclosure provide systems and methods for context based path planning for vector navigation in hexagonal spatial maps. A 2-D environment is represented into a hexagonal grid map that includes hexagonal grid cells, objects are identified based on a comparison of RGB value associated with contiguous cells. Candidate contexts are determined based on objects identified. The hexagonal grid map is rotated at various angles and compared with pre-defined map(s) to determine quantitative measure of similarity for contexts identification from the candidate contexts, based upon which a path is dynamically planned for easy and efficient vector navigation within the hexagonal grid map. The embodiments further enable generating paths for different contexts using navigable common object(s) identified between intersections of the different contexts.

公开(公告)号：US10911543B2

公开(公告)日：2021-02-02

申请号：US16353108

申请日：2019-03-14

Applicant: Tata Consultancy Services Limited

Inventor： Swagata Biswas ,  Swarnava Dey ,  Arijit Mukherjee ,  Arpan Pal

IPC: G06F15/16 ,  H04L29/08 ,  H04L12/911

Abstract: Cloud robotics infrastructures generally support heterogeneous services that are offered by heterogeneous resources whose reliability or availability also varies widely with varying lifetime. For such systems, defining a static redundancy configuration for all services is difficult and often biased. Also, it is not feasible to define a redundancy configuration separately for each unique service. Therefore, in the present disclosure a trade-off between the two is ensured by providing At-most M-Modular Flexible Redundancy Model wherein an exact degree of redundancy is defined and is given to each service in a heterogeneous service environment and monitoring each task and subtask status to ensure that each subtask gets accomplished thereby enabling the tuning of the tradeoff between redundancy and cost and determining efficiency of the system by estimating number of resources utilized to complete specific subtask and comparing the resources utilization with the exact degree of redundancy defined.

公开(公告)号：US09471383B2

公开(公告)日：2016-10-18

申请号：US14667459

申请日：2015-03-24

Applicant: Tata Consultancy Services Limited

Inventor： Himadri Sekhar Paul ,  Arijit Mukherjee ,  Ansuman Banerjee ,  Swarnava Dey ,  Arpan Pal ,  Pubali Datta

IPC: G06F9/50

CPC classification number: G06F9/5027 ,  G06F9/5044 ,  G06F9/505

Abstract: A method comprises, receiving, at each of a plurality of computing devices, a task execution estimation request message from a central server, the task execution estimation request message comprising a worst-case execution time (WCET) corresponding to the computing device. The method further comprises, computing, by each of the plurality of computing devices, an estimate task execution time for the task based on the WCET and a state transition model corresponding to the computing device, wherein the state transition model indicates available processing resources corresponding to the computing device. Further, the method comprises transmitting, by each of the plurality of computing devices, the estimate task execution time to the central server for allocation of the task to a computing device from amongst the plurality of computing devices based on the estimate task execution time corresponding to the computing device.

Abstract translation: 一种方法包括：从多个计算设备中的每一个接收来自中央服务器的任务执行估计请求消息，所述任务执行估计请求消息包括对应于所述计算设备的最坏情况执行时间（WCET）。 该方法还包括：由多个计算设备中的每一个计算基于WCET的任务的估计任务执行时间和对应于该计算设备的状态转换模型，其中该状态转换模型指示对应于 计算设备。 此外，该方法包括由多个计算设备中的每个计算设备将估计任务执行时间发送到中央服务器，用于基于与多个计算设备对应​​的估计任务执行时间从多个计算设备中的任务分配到计算设备 计算设备。

公开(公告)号：US20160119248A1

公开(公告)日：2016-04-28

申请号：US14665979

申请日：2015-03-23

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Swarnava Dey ,  Arijit Mukherjee ,  Pubali Datta ,  Himadri Sekhar Paul

IPC: H04L12/923 ,  H04L12/927 ,  H04L12/911 ,  H04L12/26

CPC classification number: H04L47/762 ,  G06F9/4843 ,  G06F9/485 ,  G06F9/5022 ,  H04L43/14 ,  H04L47/803 ,  H04L47/821

Abstract: Methods and devices for controlling execution of a data analytics application on a computing device are described. The devices include an alert app to prompt a user on system load and to recommend the user for proactively controlling the execution of a set of processes to reclaim computational resources required for execution of the data analytics application on the devices.

Abstract translation: 描述了用于控制计算设备上的数据分析应用的执行的方法和设备。 这些设备包括提醒用户系统负载的警报应用，并且推荐用户主动地控制一组进程的执行以回收在设备上执行数据分析应用所需的计算资源。

公开(公告)号：US20150007185A1

公开(公告)日：2015-01-01

申请号：US14317272

申请日：2014-06-27

Applicant: Tata Consultancy Services Limited

Inventor： Swarnava Dey ,  Arpan Pal ,  Arijit Mukherjee ,  Himadri Sekhar Paul

IPC: G06F9/48 ,  G06F9/50

CPC classification number: G06F9/4843 ,  G06F9/4881 ,  G06F9/5072 ,  G06F9/52 ,  H04L67/10

Abstract: Described herein, are methods and devices for execution of a task in a grid computing system. According to an implementation, free time-slots are identified and durations of the free time-slots are estimated, by an edge device, for execution of a sub-task. The free time-slots are indicative of an idle state of the edge device. At least one computation capability parameter of the edge device is determined by the edge device for execution of a sub-task during the free time-slots. An advertisement profile having at least one free time-slot, and the duration and the at least one computation capability parameter associated with the at least one free time-slot is created by the edge device. The advertisement profile is provided by the edge device to grid servers in the grid computing system for partitioning a main task to create a sub-task executable by the edge device.

Abstract translation: 这里描述的是用于在网格计算系统中执行任务的方法和装置。 根据实施方式，识别空闲时隙，并由边缘设备估计空闲时隙的持续时间，以执行子任务。 空闲时隙表示边缘设备的空闲状态。 边缘设备的至少一个计算能力参数由边缘设备确定，以在空闲时隙期间执行子任务。 具有至少一个空闲时隙的广告简档，以及与所述边缘设备一起创建与所述至少一个空闲时隙相关联的所述持续时间和所述至少一个计算能力参数。 该广告简档由边缘设备提供给网格计算系统中的网格服务器，用于划分主要任务以创建由边缘设备可执行的子任务。