Tata Consultancy Services Limited

Freescale Semiconductor,inc.

Rajesh Kumar Sinha

Venkat Raju Chintalapalli Patta

Venkatesh Prasad Bangalore Srinivas

Aniruddha Singhal

Swagat Kumar

Ankush Ojha

Supratim Ghosh

Prakash Chanderlal Ambwani

Chayan Sarkar

Sreehari Kumar Bhogineni

Vivek Pandey

Marichi Agarwal

Harshad Khadilkar

Raghav Ponnath

Chandan Kumar Singh

Anima Majumder

Vishal Kumar Bhutani

Anima Majumder Dutta

Vivek Kumar Gangwar

Deepak Raina

Venkat Raju Chinatalapalli Patta

Richa Verma

Shivam Thukral

Venkatesh Srinivas Prasad

Samrat Dutta

Online 3-dimensional bin packing problem (O3D-BPP) is getting renewed prominence due to the industrial automation brought by Industry 4.0. However, due to limited attention in the past and its challenging nature, a good approximate technique is in scarcity as compared to 1D or 2D problems. Present disclosure provides system and method that considers real-time O3D-BPP of cuboidal boxes with partial information (look-ahead) in an automated robotic sorting center. System presents two rolling-horizon mixed-integer linear programming (MILP) cum-heuristic based algorithms wherein a framework is provided that adapts and improves performance of BP heuristics by utilizing information in an online setting with look-ahead.

Automated placement of objects in bins using look ahead information by virtual sorting and packing

State of the art automated bin packing systems fail to handle dynamic scenarios in which information on dimensions of objects to be loaded is not available in advance. These systems also fail to consider capabilities of robots used for the automated packing of objects/bins. The disclosure herein generally relates to automated bin packing, and, more particularly, to a system and method for autonomous multi-bin parcel loading system. The system handles an online object packing in which information on dimensions of objects to be loaded is not available in advance. The system is also configured to consider capabilities of one or more robots used for loading objects to containers, while generating recommendations for object packing.

System and method for autonomous multi-bin parcel loading system

State of the art track width adjustment mechanism fail to support track width adjustment while vehicle is in motion. They also require manual intervention, which causes inconvenience. The disclosure herein generally relates to wheel track adjustment, and, more particularly, to a changeable wheel track mechanism for track width adjustment (referred to as TWA mechanism). The TWA mechanism includes a steer and drive unit, a plurality of links, and a sliding unit. The TWA mechanism allows movement of a wheel in inward and outward directions, causing the track width adjustment. The track width is achieved by changing the wheel position to be at a wider position, or a narrower position, or any intermediate position. The TWA mechanism may be associated with any vehicle for which the track width adjustment is to be achieved.

Changeable wheel track mechanism for track width adjustment

This disclosure relates generally to system and method for parameter compression of capsule networks using deep features. The conventional capsule networks have distinct capability of retaining spatial correlations between extracted features but that comes at a cost of intensive computational, cost, memory usage and bandwidth requirement. The embodiments herein disclose a system and method for employing a lightweight deep features based capsule network that is capable of compressing the parameters. In an embodiment, the system includes a deep feature based capsule network such that the capsule layer is preceded by feature blocks. Said feature blocks comprises convolutional operation with a kernel size 3, followed by convolutional operation with kernel of size 1, and a Batch Normalization layer, and hence are able to extract deep features. These deep features when input to the capsule layer facilitates in compressing the parameters of the capsule layer, while ensuring significant increase in recognition accuracy.

System and method for parameter compression of capsule networks using deep features

This disclosure relates generally to automated packing of objects, and, more particularly, to a method and system for packing products with increased efficiency across packaging levels. While conventional methods of improving packaging efficiency focus on only one of the multiple levels in the packaging process, most commonly the tertiary level, the present disclosure attempts increasing packaging efficiency across packaging levels. Embodiments of present disclosure achieves increased efficiency across packaging levels by identifying standard size of secondary packages for packing a plurality of primary packages, packing the secondary packages within tertiary packages using a Mixed Integer Linear Programming (MILP) optimization model based on packing heuristics, and providing a feedback between tertiary and secondary packaging levels to identify standard secondary packages which can pack the primary packages with higher packing efficiency.

Method and system for packing products with increased efficiency across packaging levels

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. During depalletizing, empty pallet is slide down using actuator(s) and guided pins and pushed back to bottom rollers which is below a L-channel and is pushed out towards bottom ramp at pallet exit area.

Apparatus and method for automated objects manipulation to and from pallets

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.

Apparatus for loading and unloading of freight

A method and system for executing a software application having a binary size that is larger than an available memory space in an embedded system from which the software application will execute. The software application is split into one or more initialization sequences and a main code sequence. The method includes loading () each initialization sequence of the one or more initialization sequences in the memory space prior to its execution, and executing () each initialization sequence of the one or more initialization sequences out of the memory space. Further, the method includes loading () the main code sequence in the memory space after the execution of the one or more initialization codes and then executing () the main code sequence out of the memory space.

Method and system of executing a software application in highly constrained memory situation

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Bengaluru, India

Rajesh Kumar Sinha