Patents by Inventor Sourav Biswas

Sourav Biswas 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).

  • Publication number: 20240300526
    Abstract: Motion planning with implicit occupancy for autonomous systems includes obtaining a set of trajectories through a geographic region for an autonomous system, and generating, for each trajectory in the set of trajectories, a set of points of interest in the geographic region to obtains sets of points of interest. Motion planning further includes quantizing the sets of points of interest to obtain a set of query points in the geographic region and querying the implicit decoder model with the set of query points to obtain point attributes for the set of query points. Motion planning further includes processing, for each trajectory of a least a subset of trajectories, the point attributes corresponding to the set of points of interest to obtain a trajectory cost for the trajectory. From the set of trajectories, a selected trajectory is selected according to trajectory cost.
    Type: Application
    Filed: March 7, 2024
    Publication date: September 12, 2024
    Applicant: Waabi Innovation Inc.
    Inventors: Sourav BISWAS, Sergio CASAS ROMERO, Quinlan SKYORA, Ben Taylor Caldwell AGRO, Abbas SADAT, Raquel URTASUN
  • Patent number: 11676310
    Abstract: The present disclosure is directed encoding LIDAR point cloud data. In particular, a computing system can receive point cloud data for a three-dimensional space. The computing system can generate a tree-based data structure from the point cloud data, the tree-based data structure comprising a plurality of nodes. The computing system can generate a serial representation of the tree-based data structure. The computing system can, for each respective node represented by a symbol in the serial representation: determine contextual information for the respective node, generate, using the contextual information as input to a machine-learned model, a statistical distribution associated with the respective node, and generate a compressed representation of the symbol associated with the respective node by encoding the symbol using the statistical distribution for the respective node.
    Type: Grant
    Filed: September 11, 2020
    Date of Patent: June 13, 2023
    Assignee: UATC, LLC
    Inventors: Yushu Huang, Jerry Junkai Liu, Kelvin Ka Wing Wong, Shenlong Wang, Raquel Urtasun, Sourav Biswas
  • Publication number: 20190131650
    Abstract: Cathodic half-cells for the electrocatalytic reduction of oxygen are disclosed. Within the half-cell, a redox catalyst containing one or more non-Pt transition metals attached to a solid support (i.e., a “heterogenized” non-Pt transition metal-containing catalyst) is separate from and not in direct contact with the cathode electrode. In use, both the cathode electrode and the redox catalyst are in contact with an electrolyte solution that also contains a redox mediator. The oxidized form of the redox mediator is reduced at the cathode electrode, and the resulting reduced form migrates to the redox catalyst, where the mediator is oxidized back to its oxidized form, while oxygen is simultaneously reduced. The oxidized form of the redox mediator then migrates back to the cathode electrode, where the process is repeated. The disclosed cathodic half-cells can be used in combination with an anode half-cell in a variety of different electrochemical cells, such as in fuel cells or in electrosynthetic cells.
    Type: Application
    Filed: October 25, 2018
    Publication date: May 2, 2019
    Inventors: Shannon S. Stahl, Sourav Biswas, Colin W. Anson, Yuliya Preger, Thatcher Root