Milutin Pajovic

USPTO Granted Patents = 26 (Patent Applications = 2)

CIPO Patents = 3

EPO Patents = 13 (Patent Applications = 14)

Average Co-Inventor Count = 3.1

ph-index = 5

Forward Citations = 85(Granted Patents)

Location History:

Cambridge, MA (US) (2015 - 2022)
Boston, MA (US) (2021 - 2022)

Company Filing History:

25 out of 1,634

Mitsubishi Electric Research Laboratories, Inc.

Years Active: 2015-2024

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26 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12119853 - Digital correction techniques for wideband receiver signal chain nonlinearities (2024-10-15),

2. 11448511 - System and method for probabilistic multi-robot positioning (2022-09-20),

3. 11347238 - System and method for probabilistic multi-robot SLAM (2022-05-31),

4. 11346891 - Battery diagnostic system for estimating remaining useful life (RUL) of a battery (2022-05-31),

5. 11331801 - System and method for probabilistic multi-robot positioning (2022-05-17),

6. 11249181 - Localization using millimeter wave beam attributes for keyless entry applications (2022-02-15),

7. 11122397 - Localization using millimeter wave beam attributes (2021-09-14),

8. 11121816 - Symbol detection of massive MIMO systems with unknown symbol-dependent transmit-side impairments (2021-09-14),

9. 10921383 - Battery diagnostic system for estimating capacity degradation of batteries (2021-02-16),

10. 10917192 - Symbol detection is shared wireless channel subject to jamming interference (2021-02-09),

11. 10564222 - Methods and systems for battery state of power prediction (2020-02-18),

12. 10554309 - Pilot-aided carrier phase estimation for optical communications (2020-02-04),

13. 10541839 - System and method for angular-domain channel estimation of massive MIMO system with low-resolution ADC with time-varying thresholds (2020-01-21),

14. 10514437 - Device localization using RSS based path loss exponent estimation (2019-12-24),

15. 10498558 - Symbol detection in shared wireless channel (2019-12-03),

Title: Milutin Pajovic: Innovator in Signal Processing and Robotics

Introduction

Milutin Pajovic is a distinguished inventor based in Cambridge, MA, who has made significant contributions to the fields of signal processing and robotics. With an impressive portfolio of 26 patents, his work showcases a blend of innovative thinking and technical expertise that has advanced modern technology.

Latest Patents

Pajovic's recent patents demonstrate his commitment to addressing complex engineering challenges. One of his latest inventions, titled "Digital Correction Techniques for Wideband Receiver Signal Chain Nonlinearities," tackles the non-idealities of input circuitry in receiver signal chains. This digital nonlinearity correction (NLC) solution enhances performance by compensating for mixer spurs and can potentially improve receive chain efficacy by 15-25 dB, crucial for defense and instrumentation applications.

Another notable patent, "System and Method for Probabilistic Multi-Robot Positioning," presents a sophisticated approach to multi-robot pose estimation. This invention enables robots to iteratively update their pose estimations through two independent particle filters, enhancing the accuracy of their positioning and collaboration with neighboring robots.

Career Highlights

Throughout his career, Milutin Pajovic has been associated with leading technology firms such as Mitsubishi Electric Research Laboratories, Inc. and Analog Devices, Inc. His extensive experience in these organizations has allowed him to refine his expertise and innovate in the fields of signal processing and robotics.

Collaborations

Pajovic has collaborated with notable contemporaries like Philip Orlik and Toshiaki Koike-Akino, contributing to various successful projects and driving advancements in his areas of focus. These collaborations highlight the importance of teamwork in fostering innovation and the exchange of ideas in technology development.

Conclusion

In summary, Milutin Pajovic stands out as an influential inventor whose cutting-edge patents and collaborations have significantly impacted the fields of signal processing and robotics. His work continues to pave the way for advancements in technology, making it evident that his contributions will be felt for years to come.

This text is generated by artificial intelligence and may not be accurate.