Patents by Inventor Swagat KUMAR

Swagat KUMAR has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12128554
    Abstract: An autonomous mobile robot (AMR) with a single modular platform to mount plurality of material handling units is provided. The AMR includes a monolithic chassis; a top plate includes plurality of standoffs to mount at least one material handling units; the plurality of standoffs are integrated on top of the top plate; drive wheels are coupled to a wheel mount as a single unit to form a drive wheel assembly; a suspension unit is coupled symmetrically in between two main bodies which corresponds to the monolithic chassis and the drive wheel assembly with spring enclosures, suspension shafts, and coil springs; a set of side plates connect the monolithic chassis on the AMR. The top plate is sandwiched between the plurality of standoffs and the monolithic chassis. A load is transferred from the plurality of material handling units through the plurality of standoffs and the top plate to the monolithic chassis.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: October 29, 2024
    Assignee: Tata Consultancy Services Limited
    Inventors: Venkatesh Prasad Bangalore Srinivas, Venkat Raju Chintalapalli Patta, Swagat Kumar
  • Patent number: 11642797
    Abstract: Object manipulation in warehouses and logistics facilities is a challenging task because of the unstructured environment. The unstructured environment can have items/objects with different form factors, weight, shape, and size. Traditionally, multiple robots have been used to handle for specific task to be performed by an individual robot which requires high floor. This leads to higher cost and infrastructure. Embodiments of the present disclosure provide a gripper apparatus that addresses a single gripper design handling multiple parcels, wherein the apparatus consists of ‘m’ fingers parallel to each other and can be independently controlled through actuators, each finger has a force sensors feedback and also actuators which are controlled with force. Each finger comprises a linear slider for actuation for gripping objects and wherein bottom fingers are moved to provide enough gravity support.
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: May 9, 2023
    Assignee: Tata Consultancy Services Limited
    Inventors: Venkat Raju Chintalapalli Patta, Aaditya Asati, Swagat Kumar
  • Patent number: 11548741
    Abstract: Conventionally, loading and unloading pallets occurred in a factory like environment, wherein traditional systems were used for stacking pallets vertically for retrieval thereof. However, these pallets arrive from a roller conveyer and such set-ups are purely based on the concept of storage purpose and lack in palletizing and depalletizing in effective manner. Embodiments of the present disclosure provide pallet loading and unloading apparatus for automated objects manipulation, wherein pallet(s) from a forklift jack arrives on a linear slider assembly for movement of pallet from loading area to manipulating area using two double-sided cylinders associated thereof. Rollers comprised in apparatus provide flexibility to linear slider to slide freely on top. Manipulator performs palletizing and depalletizing as applicable.
    Type: Grant
    Filed: November 3, 2020
    Date of Patent: January 10, 2023
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Venkat Raju Chintalapalli Patta, Venkatesh Prasad Bangalore Srinivas, Swagat Kumar, Rajesh Sinha
  • Publication number: 20220258327
    Abstract: An autonomous mobile robot (AMR) with a single modular platform to mount plurality of material handling units is provided. The AMR includes a monolithic chassis; a top plate includes plurality of standoffs to mount at least one material handling units; the plurality of standoffs are integrated on top of the top plate; drive wheels are coupled to a wheel mount as a single unit to form a drive wheel assembly; a suspension unit is coupled symmetrically in between two main bodies which corresponds to the monolithic chassis and the drive wheel assembly with spring enclosures, suspension shafts, and coil springs; a set of side plates connect the monolithic chassis on the AMR. The top plate is sandwiched between the plurality of standoffs and the monolithic chassis. A load is transferred from the plurality of material handling units through the plurality of standoffs and the top plate to the monolithic chassis.
    Type: Application
    Filed: July 23, 2020
    Publication date: August 18, 2022
    Applicant: Tata Consultancy Services Limited
    Inventors: VENKATESH PRASAD BANGALORE SRINIVAS, VENKAT RAJU CHINTALAPALLI PATTA, SWAGAT KUMAR
  • Publication number: 20210300694
    Abstract: Conventionally, loading and unloading pallets occurred in a factory like environment, wherein traditional systems were used for stacking pallets vertically for retrieval thereof. However, these pallets arrive from a roller conveyer and such set-ups are purely based on the concept of storage purpose and lack in palletizing and depalletizing in effective manner. Embodiments of the present disclosure provide pallet loading and unloading apparatus for automated objects manipulation, wherein pallet(s) from a forklift jack arrives on a linear slider assembly for movement of pallet from loading area to manipulating area using two double-sided cylinders associated thereof. Rollers comprised in apparatus provide flexibility to linear slider to slide freely on top. Manipulator performs palletizing and depalletizing as applicable.
    Type: Application
    Filed: November 3, 2020
    Publication date: September 30, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Venkat Raju CHINTALAPALLI PATTA, Venkatesh Prasad BANGALORE SRINIVAS, Swagat KUMAR, Rajesh SINHA
  • Publication number: 20210291384
    Abstract: Object manipulation in warehouses and logistics facilities is a challenging task because of the unstructured environment. The unstructured environment can have items/objects with different form factors, weight, shape, and size. Traditionally, multiple robots have been used to handle for specific task to be performed by an individual robot which requires high floor. This leads to higher cost and infrastructure. Embodiments of the present disclosure provide a gripper apparatus that addresses a single gripper design handling multiple parcels, wherein the apparatus consists of cm? fingers parallel to each other and can be independently controlled through actuators, each finger has a force sensors feedback and also actuators which are controlled with force. Each finger comprises a linear slider for actuation for gripping objects and wherein bottom fingers are moved to provide enough gravity support.
    Type: Application
    Filed: September 4, 2020
    Publication date: September 23, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Venkat Raju CHINTALAPALLI PATTA, Aaditya ASATI, Swagat KUMAR
  • Patent number: 10936905
    Abstract: Object annotation is images is tedious time consuming task when large volume of data needs to annotated. Existing methods limit to semiautomatic approaches for annotation. The embodiments herein provide a method and system for a deep network based architecture for automatic object annotation. The deep network utilized is a two stage network with first stage as an annotation model comprising a Faster Region-based Fully Convolutional Networks (F-RCNN) and Region-based Fully Convolutional Networks (RFCN) providing for two class classification to generate annotated images from a set of single object test images. Further, the newly annotated test object images are then used to synthetically generate cluttered images and their corresponding annotations, which are used to train the second stage of the deep network comprising the multi-class object detection/classification model designed using the F-RCNN and the RFCN as base networks to automatically annotate input test image in real time.
    Type: Grant
    Filed: July 5, 2019
    Date of Patent: March 2, 2021
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Chandan Kumar Singh, Anima Majumder, Swagat Kumar, Laxmidhar Behera
  • Patent number: 10689212
    Abstract: This disclosure relates generally to an apparatus for loading and unloading of unit loads in freight. A mobile base platform of the apparatus includes a telescopic railing and a telescopic conveyor, wherein the telescopic conveyor is mounted on top of the telescopic railing and the tail end of the telescopic railing is mounted on the front end of mobile base platform. A mechanical connector is adapted to connect the front end of a telescopic conveyor with the front end of the telescopic railing, wherein the mechanical connector enables the telescopic robotic mounting plate coupled to the telescopic railing to move in relation to the telescopic conveyor. The telescopic conveyor and the telescopic railing is moved towards the forward position inside the carrying body, where the forward position movement is enabled by the mechanical link to unload freight.
    Type: Grant
    Filed: February 5, 2019
    Date of Patent: June 23, 2020
    Assignee: Tata Consultancy Services Limited
    Inventors: Venkatesh Prasad Bangalore Srinivas, Venkat Raju Chintalapalli Patta, Swagat Kumar, Rajesh Sinha
  • Publication number: 20200193222
    Abstract: Object annotation is images is tedious time consuming task when large volume of data needs to annotated. Existing methods limit to semiautomatic approaches for annotation. The embodiments herein provide a method and system for a deep network based architecture for automatic object annotation. The deep network utilized is a two stage network with first stage as an annotation model comprising a Faster Region-based Fully Convolutional Networks (F-RCNN) and Region-based Fully Convolutional Networks (RFCN) providing for two class classification to generate annotated images from a set of single object test images. Further, the newly annotated test object images are then used to synthetically generate cluttered images and their corresponding annotations, which are used to train the second stage of the deep network comprising the multi-class object detection/classification model designed using the F-RCNN and the RFCN as base networks to automatically annotate input test image in real time.
    Type: Application
    Filed: July 5, 2019
    Publication date: June 18, 2020
    Applicant: Tata Consultancy Services Limited
    Inventors: Chandan Kumar SINGH, Anima MAJUMDER, Swagat KUMAR, Laxmidhar BEHERA
  • Patent number: 10646999
    Abstract: Systems and methods for detecting grasping poses for handling target objects is disclosed. The system solves problem of grasp pose detection and finding suitable graspable affordance for picking objects from a confined and cluttered space, such as the bins of a rack in a retail warehouse by creating multiple surface segments within bounding box obtained from a neural network based object recognition module. Surface patches are created using a region growing technique in depth space based on surface normals directions. A Gaussian Mixture Model based on color and depth curvature is used to segment surfaces belonging to target object from background, thereby overcoming inaccuracy of object recognition module trained on a smaller dataset resulting in larger bounding boxes for target objects. Target object shape is identified by using empirical rules on surface attributes thereby detecting graspable affordances and poses thus avoiding collision with neighboring objects and grasping objects more successfully.
    Type: Grant
    Filed: July 10, 2018
    Date of Patent: May 12, 2020
    Assignee: Tata Consultancy Services Limited
    Inventors: Olyvia Kundu, Swagat Kumar, Ehtesham Hassan
  • Publication number: 20200115174
    Abstract: This disclosure relates generally to an apparatus for loading and unloading of unit loads in freight. A mobile base platform of the apparatus includes a telescopic railing and a telescopic conveyor, wherein the telescopic conveyor is mounted on top of the telescopic railing and the tail end of the telescopic railing is mounted on the front end of mobile base platform. A mechanical connector is adapted to connect the front end of a telescopic conveyor with the front end of the telescopic railing, wherein the mechanical connector enables the telescopic robotic mounting plate coupled to the telescopic railing to move in relation to the telescopic conveyor. The telescopic conveyor and the telescopic railing is moved towards the forward position inside the carrying body, where the forward position movement is enabled by the mechanical link to unload freight.
    Type: Application
    Filed: February 5, 2019
    Publication date: April 16, 2020
    Applicant: Tata Consultancy Services Limited
    Inventors: Venkatesh Prasad BANGALORE SRINIVAS, Venkat Raju CHINTALAPALLI PATTA, Swagat KUMAR, Rajesh SINHA
  • Patent number: 10510038
    Abstract: The system and method for recognizing and counting products within images is disclosed. The products are recognized by carrying out a nearest-neighbor search in the template feature space using a k-d tree and the product count is then obtained by using a maximum feature repeatability index for each identified feature. The system also obtains product arrangement by fitting bounding boxes around each identified product. The count of boxes thus obtained may also provide the exact number of discrete products visible in an image. A second stage of grid-based search is also carried out in the neighborhood of each detected product to detect new products that might have been missed out in the previous step. This detection is based on a confidence measure including information like histogram matching and spatial location of products. This system is also useful in verifying planogram compliance for a given product.
    Type: Grant
    Filed: June 16, 2016
    Date of Patent: December 17, 2019
    Assignee: Tata Consultancy Services Limited
    Inventors: Swagat Kumar, Nishant Kejriwal, Sourav Garg
  • Patent number: 10265865
    Abstract: A gripper device and method is provided. The method includes capturing, using an electronic device, information of an object that is indicative of holding position; determining, using the information, by a hardware processor, an optimal holding orientation and an optimal movement of at least one of (i) a plurality of fingers, or (ii) a plurality of suction cups of a gripper device; identifying the at least one of (i) the plurality of fingers, and (ii) the plurality of suction cups as one or more grasping components based on the information, the optimal holding orientation and the optimal movement; and enabling, using an actuator, the one or more identified grasping components to grasp the object based on the information, the optimal holding orientation and the optimal movement.
    Type: Grant
    Filed: January 30, 2017
    Date of Patent: April 23, 2019
    Assignee: Tata Consultancy Services Limited
    Inventors: Venkat Raju Chinatalapalli Patta, Swagat Kumar
  • Publication number: 20190022863
    Abstract: Systems and methods for detecting grasping poses for handling target objects is disclosed. The system solves problem of grasp pose detection and finding suitable graspable affordance for picking objects from a confined and cluttered space, such as the bins of a rack in a retail warehouse by creating multiple surface segments within bounding box obtained from a neural network based object recognition module. Surface patches are created using a region growing technique in depth space based on surface normals directions. A Gaussian Mixture Model based on color and depth curvature is used to segment surfaces belonging to target object from background, thereby overcoming inaccuracy of object recognition module trained on a smaller dataset resulting in larger bounding boxes for target objects. Target object shape is identified by using empirical rules on surface attributes thereby detecting graspable affordances and poses thus avoiding collision with neighboring objects and grasping objects more successfully.
    Type: Application
    Filed: July 10, 2018
    Publication date: January 24, 2019
    Applicant: Tata Consultancy Services Limited
    Inventors: Olyvia KUNDU, Swagat KUMAR, Ehtesham HASSAN
  • Publication number: 20170368693
    Abstract: A gripper device and method is provided. The method includes capturing, using an electronic device, information of an object that is indicative of holding position; determining, using the information, by a hardware processor, an optimal holding orientation and an optimal movement of at least one of (i) a plurality of fingers, or (ii) a plurality of suction cups of a gripper device; identifying the at least one of (i) the plurality of fingers, and (ii) the plurality of suction cups as one or more grasping components based on the information, the optimal holding orientation and the optimal movement; and enabling, using an actuator, the one or more identified grasping components to grasp the object based on the information, the optimal holding orientation and the optimal movement.
    Type: Application
    Filed: January 30, 2017
    Publication date: December 28, 2017
    Applicant: Tata Consultancy Services Limited
    Inventors: Venkat Raju Chinatalapalli Patta, Swagat Kumar
  • Patent number: D841277
    Type: Grant
    Filed: October 26, 2016
    Date of Patent: February 19, 2019
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Venkat Raju Chintalapalli Patta, Swagat Kumar
  • Patent number: D858589
    Type: Grant
    Filed: May 18, 2017
    Date of Patent: September 3, 2019
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Venkat Raju Chinalapalli Patta, Venkatesh Prasad Bangalore Srinivas, Swagat Kumar
  • Patent number: D924291
    Type: Grant
    Filed: July 12, 2019
    Date of Patent: July 6, 2021
    Inventors: Venkatesh Prasad Bangalore Srinivas, Venkat Raju Chintalapalli Patta, Swagat Kumar
  • Patent number: D930054
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: September 7, 2021
    Inventors: Venkatesh Prasad Bangalore Srinivas, Venkat Raju Chintalapalli Patta, Swagat Kumar
  • Patent number: D946066
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: March 15, 2022
    Inventors: Venkatesh Prasad Bangalore Srinivas, Venkat Raju Chintalapalli Patta, Swagat Kumar