Probabilistic Programming Approach to Intention Estimation in Human-Robot Teleoperated Assembly Tasks
Summary
USPTO published Honda Motor Co., Ltd.'s patent application US20260099738A1 for probabilistic modeling methods to estimate operator intentions in human-robot teleoperated assembly tasks. The method predicts next actions in assembly sequences. The application was filed on 2025-02-14.
What changed
USPTO published Honda's patent application for probabilistic programming methods used in human-robot teleoperated assembly. The invention covers methods for probabilistic modeling to estimate operator intentions and predict next actions in assembly task sequences.\n\nAffected parties including patent holders, robotic manufacturers, and technology firms developing teleoperation systems may monitor this publication for prior art and freedom-to-operate considerations.
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Archived snapshot
Apr 12, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
PROBABILISTIC PROGRAMMING APPROACH TO INTENTION ESTIMATION IN HUMAN-ROBOT TELEOPERATED ASSEMBLY TASKS
Application US20260099738A1 Kind: A1 Apr 09, 2026
Assignee
Honda Motor Co., Ltd.
Inventors
Aolin XU, Songpo LI, Prakash BASKARAN, Karankumar Ashokbhai PATEL, Soshi IBA
Abstract
A method for probabilistic modeling for intention estimation in an operator-robot teleoperated assembly task is provided. The method may estimate the assembly task to be completed, wherein the assembly task comprises a sequence of actions. The method may predict a next action of the sequence of actions to be performed for the assembly task to be completed.
CPC Classifications
G06N 7/01 G06N 20/00
Filing Date
2025-02-14
Application No.
19053736
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