This inventor holds 2 USPTO granted patents. Top assignee: Robert Bosch. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sandeep Reddy Baddam: Robotics and State Estimation Innovations
Introduction
Sandeep Reddy Baddam is an inventor based in Pittsburgh, Pennsylvania, whose patent work focuses on mobile robotics, sensor uncertainty, and reliable robot state estimation. His listed portfolio includes 2 patents and is associated with Robert Bosch.
Latest Patents
“Mobile Robot with Optimal Control Strategies Under Sensor Uncertainties” describes a computer-implemented system for assessing a robot’s current state using sensor data and a map of confidence zones. The system determines whether the robot is in a failure zone and selects a control plan accordingly. If the zone is deemed a failure zone, the plan directs the robot to move out of it; otherwise, the robot follows another control plan.
“System and Method of Fusing Wireless and Visual Features for Robust Robot State Estimation” describes combining data from visual and wireless sensors to estimate a mobile robot’s position. The system generates distributions from both sensor modalities, fuses them into a posterior distribution, and derives an optimal state estimate with associated uncertainty data. The robot is then controlled using at least that estimate.
Career Highlights
Baddam’s patent work addresses two important challenges in mobile robotics: responding to unreliable sensor information and combining different sensing modalities to improve state estimates. Both inventions describe computer-implemented methods for using sensor-derived information to guide robot operation.
Collaborations
Baddam’s work is associated with Robert Bosch. His listed coworkers include Jonathan Francis and Sirajum Munir.
Conclusion
Sandeep Reddy Baddam’s inventions focus on making mobile robots more dependable by managing sensor uncertainty and combining wireless and visual information for state estimation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
