• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. G
  4. Gro…
  5. Grollman Daniel
🔗 Permalink
Inventor profile of:

Daniel Grollman

City:

Boulder, Colorado

Country:

United States

Published Applications:

5

Last publication date:

2025-12-04

Top Assignees for applications by Daniel Grollman

The entities that hold a legal rights for patent applications filed by inventor Grollman Daniel:

  • Plus One Robotics, Inc. 4 San Antonio, TX United States

Recent patent applications by Grollman Daniel

Daniel Grollman from Boulder, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-12-04
US20250371340A1
Physics

SYSTEMS AND METHODS FOR DEFINING CONFIDENCE IN DEEP LEARNING MODEL PREDICTION

#2 | 2025-07-24
US20250236015A1
Performing operations; transporting

DYNAMIC MACHINE LEARNING SYSTEMS AND METHODS FOR IDENTIFYING PICK OBJECTS BASED ON INCOMPLETE DATA SETS

#3 | 2024-11-07
US20240371127A1
Physics

MACHINE VISION SYSTEMS AND METHODS FOR ROBOTIC PICKING AND OTHER ENVIRONMENTS

#4 | 2023-03-02
US20230068204A1
Performing operations; transporting

SYSTEMS AND METHODS FOR DETERMINING OPERATIONAL PARADIGMS FOR ROBOTIC PICKING BASED ON PICK DATA SOURCE

#5 | 2022-10-13
US20220324098A1
Performing operations; transporting

Dynamic machine learning systems and methods for identifying pick objects based on incomplete data sets

InventorID:

5544315 ⎘

  1. Home
  2. Inventor
  3. G
  4. Gro…
  5. Grollman Daniel

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.