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This is a record of a document published elsewhere, first published by the European Patent Office, as EP-4691702-A1, on 11 February 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000003056

Method for vision-based robot motion planning using object-centric latent states

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Classification
Robotics & Automation › Robot Architectures
Inventors
GIESELMANN ROBERT, NGO ANH VIEN
Assignee
BOSCH GMBH ROBERT
Original source
EP-4691702-A1, the European Patent Office, 11 February 2026
Document SHA-256
be991ee76797ccb8f8083569da0a51fccbe52a08fe116428322d5a87837f72f2

Abstract

Various aspects relate to a method (200) for robot motion planning, the method including: receiving (202) an image sequence which ends at a point in time and shows objects in a surrounding of a robot (101) during a prior control of the robot; inputting (204) the image sequence into an encoder to predict a current latent state which represents a respective latent object state for each object of the objects at the point in time; generating (206), using a rapidly exploring random tree, RRT, approach, a latent state graph starting from the current latent state, wherein each predicted latent state of the latent state graph represents a respective predicted latent object state for each object of the objects; determining (208), by applying a policy for solving a Markow Decision Process on the latent state graph, a control trajectory for controlling the robot to achieve a goal state.

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Citation

OpenTechnical Publication OT-2026-000003056, “Method for vision-based robot motion planning using object-centric latent states,” published September 15, 2026 at 19:17:02 UTC, https://opentechnical.org/p/OT-2026-000003056.

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