---
publication_id: "OT-2026-000001297"
title: "Performance recreation system"
published_at: "2026-09-15T19:04:45.450233Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000001297"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05b19/42"
  - "g05b19/42"
  - "g05b19/42"
  - "b25j9/16"
  - "b25j9/163"
  - "b25j9/163"
---

# Performance recreation system

## Abstract

The present disclosure generally relates to performance recreation, and in particular, the recreation of observed human performance using reinforcement learning. In this regard, a first object is identified from a plurality of objects. The manipulation of the first object is tracked from a first position to a second position. A characterization of the manipulation is generated. A policy that controls a mechanical gripper to recreate the manipulation is generated based on an iteratively increasing cumulative award. The mechanical gripper iteratively recreates the manipulation to increase a cumulative award with each recreation.