公开(公告)号：US10277682B2

公开(公告)日：2019-04-30

申请号：US15817720

申请日：2017-11-20

Applicant: Tata Consultancy Services Limited

Inventor： Swagata Biswas ,  Tanushyam Chattopadhyay ,  Arpan Pal ,  Snehasis Banerjee ,  Utpal Garin

IPC: H04L29/08 ,  G06K9/62 ,  G06N7/00 ,  G06F8/36 ,  G06F8/30 ,  G06F17/14 ,  H04W4/38

Abstract: A method and system has been provided for recommending features for developing an IoT analytics application. The method follows a deep like architecture. It comprises of three distinct layers. First layer is for input signal processing and other two layers are for feature reduction. The time domain, frequency domain and time-frequency domain features are extracted from the input signal. The invention uses multiple feature selection methods so that the union of the recommended features by these feature selection methods is significantly lesser than the initial set of features. The best feature combination is recommended using an exhaustive search.

公开(公告)号：US10776621B2

公开(公告)日：2020-09-15

申请号：US15901978

申请日：2018-02-22

Applicant: Tata Consultancy Services Limited

Inventor： Snehasis Banerjee ,  Swarnava Dey ,  Arijit Mukherjee ,  Swagata Biswas

IPC: G06K9/00 ,  G01R13/02 ,  G06F17/14 ,  G06N3/08 ,  G06N3/04

Abstract: Signal analysis is applied in various industries and medical field. In signal analysis, wavelet analysis plays an important role. The wavelet analysis needs to identify a mother wavelet associated with an input signal. However, identifying the mother wavelet associated with the input signal in an automatic way is challenging. Systems and methods of the present disclosure provides signal analysis with automatic selection of wavelets associated with the input signal. The method provided in the present disclosure receives the input signal and a set of parameters associated with the signal. Further, the input signal is analyzed converted into waveform. The waveforms are analyzed to provide image units. Further, the image units are processed by a plurality of deep architectures. The deep architectures provides a set of comparison scores and a matching wavelet family is determined by utilizing the set of comparison scores.

公开(公告)号：US12023815B2

公开(公告)日：2024-07-02

申请号：US17136650

申请日：2020-12-29

Applicant: Tata Consultancy Services Limited

Inventor： Marichi Agarwal ,  Chayan Sarkar ,  Swagata Biswas ,  Sayan Paul ,  Himadri Sekhar Paul

IPC: B25J9/16 ,  B65G1/137

CPC classification number: B25J9/1676 ,  B25J9/161 ,  B25J9/1653 ,  B25J9/1692 ,  B65G1/1371 ,  B65G1/1373

Abstract: Any technical error with robotic arms that are used to automatically perform object packing can affect quality and efficiency with which the packing is being carried out, and this in turn affects space utilization when a large quantity of objects are to be accommodated in tight packing spaces. This disclosure relates generally to automated object packing and more specifically to an object packing mechanism in which corrections are made when placement of object is identified as violating one or more regulations. The system packs objects by calculating ICP-BCP pairs for each empty space in a packing space. After packing each object, the system checks whether placement of the object violates one or more regulations, and if any violation is found, then the system determines and executes one or more corrective action to correct placement of the object that violates the regulation.

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：US12025984B2

公开(公告)日：2024-07-02

申请号：US17365937

申请日：2021-07-01

Applicant: Tata Consultancy Services Limited

Inventor： Swagata Biswas ,  Himadri Sekhar Paul ,  Saurabh Bagchi

IPC: G05D1/00 ,  B60W50/02 ,  B60W50/029 ,  B60W60/00 ,  G06F9/48

CPC classification number: G05D1/0214 ,  B60W50/0205 ,  B60W50/029 ,  B60W60/001 ,  G05D1/0088 ,  G06F9/4881 ,  B60W2050/0215

Abstract: A fully tested autonomous system works predictably under ideal or assumed environment. However, behavior of the system is not fully defined when component(s) malfunction or fail (e.g., sensor failures) and the like which leads to inefficient task execution. Present disclosure provides system and method for imperfect sensing-based analysis of agents deployed in environments for traversal task execution, specifically, in unknown environments. The system estimates performance metric (e.g., task execution time) and safety metrics (e.g., number of collisions encountered while executing the task) related to task of traversal of the vehicle/agent from its current position to a target location. The system also incorporates sensitivity of each sensor(s), for given task, when they malfunction. The sensing malfunction can be both independent and/or co-related with malfunction of other sensors. Such a model helps to identify the most critical component in the agent(s), thereby increasing reliability of the system and meet safety standards.

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.