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公开(公告)号：US20240319735A1
公开(公告)日：2024-09-26
申请号：US18417504
申请日：2024-01-19
Applicant: Tata Consultancy Services Limited
Inventor： Arup Kumar SADHU , Lokesh KUMAR , Ranjan DASGUPTA , Mohit LUDHIYANI , Titas BERA
CPC classification number: G05D1/229 , G05D1/2469 , G05D2101/15
Abstract: In conventional robot navigation techniques learning and planning algorithms act independently without guiding each other simultaneously. A method and system for robotic navigation with simultaneous local path planning and learning is disclosed. The method discloses an approach to learn and plan simultaneously by assisting each other and improve the overall system performance. The planner acts as an actuator and helps to balance exploration and exploitation in the learning algorithm. The synergy between dynamic window approach (DWA) as a planning algorithm and a disclosed Next best Q-learning (NBQ) as a learning algorithm offers an efficient local planning algorithm. Unlike the traditional Q-learning, dimension of Q-tree in the NBQ is dynamic and does not require to define a priori.
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公开(公告)号：US20200096341A1
公开(公告)日：2020-03-26
申请号：US16254303
申请日：2019-01-22
Applicant: Tata Consultancy Services Limited
Inventor： Vishvendra RUSTAGI , Mohit LUDHIYANI , Arnab SINHA , Ranjan DASGUPTA
Abstract: Conventional techniques involve fusion of Inertial Measurement Units (IMU) sensor based method and vision based localization technique for localization of rotor systems. However vision based localization technique may be prone to errors due to motion blur, drastic lighting change, sudden rotation at UAV, and the like, while the drift in IMU based localization severely impact overall solution. Embodiments of the present disclosure provide systems and methods to eliminate (or filter) drift for dynamics model based localization of multirotors. The dynamics equations require drag modelling, which is dependent on velocity, to generate vehicles' acceleration along the body axis. The present disclosure considers the drag contribution, at velocity level, as a low frequency component. Incorrect or nonmodelling of this low frequency component leads to drift at velocity level. This drift can then be removed through a high pass filter to obtain drift free velocity data for pose estimation and better localization thereof.
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3.发明申请公开(公告)号：US20200098129A1
公开(公告)日：2020-03-26
申请号：US16580403
申请日：2019-09-24
Applicant: Tata Consultancy Services Limited
Inventor： Mohit LUDHIYANI , Vishvendra RUSTAGI , Arnab SINHA , Ranjan DASGUPTA
Abstract: Robotic vision-based framework wherein an on-board camera device is used for scale estimation. Unlike conventional scale estimation methods that require inputs from more than one or more sensors, implementations include a system and method to estimate scale online solely, without any other sensor, for monocular SLAM by using multirotor dynamics model in an extended Kalman filter framework. This approach improves over convention scale estimation methods which require information from some other sensors or knowledge of physical dimension of an object within the camera view. An arbitrary scaled position and an Euler angle of a multirotor are estimated from vision SLAM (simultaneous localization and mapping) technique. Further, dynamically integrating, computed acceleration to estimate a metric position. A scale factor and a parameter associated with the multirotor dynamics model is obtained by comparing the estimated metric position with the estimated arbitrary position.
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公开(公告)号：US20200097013A1
公开(公告)日：2020-03-26
申请号：US16578255
申请日：2019-09-20
Applicant: Tata Consultancy Services Limited
Inventor： Arup Kumar SADHU , Ranjan DASGUPTA , Balamuralidhar PURUSHOTHAMAN
Abstract: Robots are used extensively in different applications so as to perform specific tasks. However, the robots are required to move around in a location where they are present, so as to perform the tasks. For path planning, free space identification is performed by the robots during which obstacles are detected and free space is identified. However, the existing systems for path planning struggle to identify free space in cluttered environments. The disclosure herein generally relates to robotic path planning, and, more particularly, to a method and system for free space detection in a cluttered environment for robotic path planning. The system inscribes obstacles in bounding boxes and all unit grids inscribed by the bounding boxes are considered as occupied. Further, by seeding the occupancy grid map, the system identifies unified segments and corresponding seeds. Further a convex expansion is executed in the occupancy grid map to detect the free space.
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5.发明申请公开(公告)号：US20200182967A1
公开(公告)日：2020-06-11
申请号：US16702430
申请日：2019-12-03
Applicant: Tata Consultancy Services Limited
Inventor： Raj Kumar RAKSHIT , Ranjan DASGUPTA , Tapas CHAKRAVARTY
Abstract: Monitoring vibrations induced on non-rotational components, of a machine is a key requirement to ensure that the machine is well within safe operational limits. Existing approaches are sensor based and may not be practical in many practical scenarios with extreme environments. Embodiments herein provide method and system for monitoring machine health using radar based segregation for induced machine vibrations. The method provides model free a data driven approach wherein a micro Doppler signal captured by the RADAR placed in proximity of a target machine is processed and analyzed in accordance with a Wide Band Frequency Spectrum (WBFS) to estimate a rotational frequency and a translational frequency of induced machine vibrations in the target machine. Further, apply a rule engine on the estimated rotational frequency and the translational frequency to provide an alert notification to an end user when the induced machine vibrations cross the defined machine standards.
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Patent Agency Ranking
公开(公告)号：US20180256029A1
公开(公告)日：2018-09-13
申请号：US15760709
申请日：2016-09-26
Applicant: Tata Consultancy Services Limited
Inventor： Parijat Dilip DESHPANDE , Arijit SINHARAY , Ranjan DASGUPTA , Arpan PAL
CPC classification number: A61B5/0022 , A61B5/002 , A61B5/0075 , A61B5/0077 , A61B5/0205 , A61B5/021 , A61B5/02405 , A61B5/0402 , A61B5/0816 , A61B5/14532 , A61B5/14542 , A61B5/6835 , A61B5/6898 , A61B5/7264 , A61B5/7275 , A61B34/32 , G06F16/951 , G06Q10/10 , G06Q50/22 , G16H10/60 , G16H40/67 , G16H50/20 , G16H70/60
Abstract: A system is provided for automated monitoring the health of a patient. The system is unifying the approach of multi-sensing, robotic platform and cloud computing to monitor the health of the patient with zero or very minimal human intervention. The plurality of physiological parameters and the pathological values is sensed using the plurality of physiological sensors and the plurality of pathological sensors or using a smart phone of the patient. The body of the patient is scanned using a robotic arm. The data sensed by the sensor is then identifies a set of anomalies and send the set of anomalies to cloud server. A cognitive engine present on the cloud server is then diagnoses a disease using cloud computing and send the report to caregiver and doctor. According to another embodiment, a method is also provided for automated monitoring the health of the person using the above mentioned system.
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公开(公告)号：US20180038954A1
公开(公告)日：2018-02-08
申请号：US15552225
申请日：2016-02-16
Applicant: Tata Consultancy Services Limited
Inventor： Parijat DESHPANDE , Ramu VEMPADA , Ranjan DASGUPTA , Arpan PAL , Dibyendu ROY
CPC classification number: G08B13/1672 , G01N2291/045 , G01N2291/26 , G01S15/523 , G08B13/1636 , G08B13/1681 , G08B29/186
Abstract: An acoustic array system for anomaly detection is provided. The acoustic array system (100) performs a scan (or a progressive scan of frequencies) of a given volume by transmitting one or more signals, and receives one or more reflected signals from objects within the volume. The reflected signals are then amplified and converted to a set of digital signals. Features of the set of digital signals are extracted both in time and frequency domains. The acoustic array system (100) further performs a comparison of these set of digital extracted features with the reflected signals via machine learning techniques. Based on the comparison, the acoustic array system detects one or more anomalies.
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公开(公告)号：US20240371155A1
公开(公告)日：2024-11-07
申请号：US18421333
申请日：2024-01-24
Applicant: Tata Consultancy Services Limited
Inventor： Arindam SAHA , Mohan BHASKARA , Ranjan DASGUPTA , Lokesh KUMAR , Sarvesh SORTEE
IPC: G06V20/17 , B64U20/87 , B64U101/26 , G06T17/10
Abstract: This disclosure provides system and method for performing an autonomous aircraft visual inspection task using an unmanned aerial vehicle (UAV). The UAV is equipped with a front-facing RGB-D camera, one Velodyne three dimensional Light Detection and Ranging with 64 channels, and one Inertial Measurement Unit. In the method of the present disclosure, the UAV takeoff from any nearby location of the aircraft and face the RGB-D camera towards the aircraft. The UAV find the nearest landmark using a template matching approach and register with the aircraft coordinate system. The UAV navigate using LiDAR and IMU measurements, whereas the inspection process uses measurements from the RGB-D camera. The UAV navigate using a proposed safe navigation around the aircraft by avoiding obstacles. The system identifies the objects of interest using a deep-learning based object detection tool and then performs the inspection. A simple measuring algorithm for simulated objects of interest is implemented.
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9.发明公开公开(公告)号：US20240317425A1
公开(公告)日：2024-09-26
申请号：US18604817
申请日：2024-03-14
Applicant: Tata Consultancy Services Limited
Inventor： Mohan BHASKARA , Mahesha GUNMI , Ranjan DASGUPTA , Babu UNNIKRISHNAN , Kavita Sara MATHEW , Arindam SAHA , Lokesh KUMAR
Abstract: Cleaning systems proposed in the art have technical construct limitations in the cleaning mechanisms used, which leads to a lower ratio of power consumed to area cleaned, directly affecting the cleaning efficiency. Thus, an Unmanned Aerial Vehicle (UAV) Propelled Autonomous Multiplane Cleaning System (UPAMCS) is disclosed. An UAV and Mopping Interface Mechanism (UAV-MIM) connects a UAV to one or more mopping systems comprising an epicyclic gear driven moppers with no additional power devices used. A maneuvering mechanism disclosed enables the UAV to propel the mopping systems to reach any geometric shape or inclination. The UPAMCS provides cost, time, and power efficient surface cleaning. The UPAMCS is also equipped with vision cameras and LiDAR for guidance during landing and crawling over surfaces along with additional surface defect detection by processing the captured images.
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10.发明申请METHOD AND SYSTEM FOR IDENTIFYING A SENSOR TO BE DEPLOYED IN A PHYSICAL ENVIRONMENT 审中-公开识别要在物理环境中传播的传感器的方法和系统公开(公告)号：US20150261863A1
公开(公告)日：2015-09-17
申请号：US14492807
申请日：2014-09-22
Applicant: Tata Consultancy Services Limited
Inventor： Sounak DEY , Ranjan DASGUPTA , Arpan PAL , Prateep MISRA , Anupam BASU
IPC: G06F17/30
CPC classification number: G06F17/30864 , G06F17/30539 , G06F17/30657 , G06F17/3066 , G06F17/30734
Abstract: Disclosed is a method and system for identifying a sensor to be deployed in a physical environment. The method may comprise storing sensor data and metadata of the plurality of sensors in a data store. Further, the method may comprise deriving sensor information comprising at least one of thematic information, temporal information, and spatial information. The method may further comprise creating sensor ontology to define a relationship between the sensor data, the metadata, and the sensor information. The sensor ontology may be stored in a knowledge repository of the data store. The method may further comprise receiving and decomposing the search query into at least one of a basic query component and an inferred query component. Finally, the method may comprise executing the basic query component or the inferred query component on the data store and the knowledge repository respectively in order to identify the sensor.
Abstract translation: 公开了一种用于识别要在物理环境中部署的传感器的方法和系统。 该方法可以包括将传感器数据和多个传感器的元数据存储在数据存储器中。 此外，该方法可以包括导出包括专题信息，时间信息和空间信息中的至少一个的传感器信息。 该方法还可以包括创建传感器本体以定义传感器数据，元数据和传感器信息之间的关系。 传感器本体可以存储在数据存储的知识库中。 该方法还可以包括将搜索查询接收和分解为基本查询组件和推断查询组件中的至少一个。 最后，该方法可以包括分别在数据存储和知识库上执行基本查询组件或推断的查询组件，以便识别传感器。
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