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May 21, 20260 citationsOpen Access

ITU Tier 1+ #13: Robotics (Kᵣobot)

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MTMunehiro Terada

Key Points

  • This research aims to define a comprehensive operator-algebraic framework for robotics integrating various components such as sensors and planning.
  • Defined K_robot as the operator-algebraic modular Hamiltonian on multiple robotics components.
  • Conducted numerical evaluations using data from various robotics platforms including Boston Dynamics and Tesla.
  • Predicted outcomes related to humanoid robotics and robotic services in specified future years.
  • Predicted average values for ten robotics advancements, notably a robot taxi commercial launch by 2027 (P_avg=0.65).
  • Projected mass production of humanoid robots by 2028 with a probability of 0.55.
  • Forecasted total costs for various robotics initiatives, estimating $1.7M across multiple sectors.

Abstract

Tier 1+ Pass-1. 5 paper 13 of 45. ITU-derived robotics on sensor + actuator + planning + learning + safety. Defines Kᵣobot = -log ρᵣobot as the operator-algebraic modular Hamiltonian on Hₛensor ⊗ Hₐctuator ⊗ Hₚlanning ⊗ Hₗearning ⊗ Hₛafety. Kᵣobot inherits from KQG via the CLPW 2023 type II crossed-product specialised to this scale. Numerical results. Boston Dynamics Atlas/Spot, Tesla Optimus 2025, surgical robots da Vinci, Open-X-Embodiment 2024 1M+ episodes. Topics covered. Tesla Optimus 2025, Figure 02 2024. 8, Boston Dynamics, RT-2 Google 2023, Open-X-Embodiment 2024. 10, humanoid investment 40B 2024. 45-vertex polytope #13 top couplings: #2 AI (0. 92), #14 Comm (0. 92), #12 Robot (0. 85), #15 Infra (0. 85). Ten falsifiable predictions: Pₐvg=0. 66: arXiv 2026 (0. 90 S), Humanoid mass production 2028 (0. 55 M), Robot taxi commercial 2027 (0. 65 M). Pass-2 roadmap: ~1. 7M: Robot analytics (600K) + Lean Mathlib (200K) + Industry partnerships (900K). Copyright © 2026 Munehiro Terada / Roboken. Licensed under CC-BY-4. 0.

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Cite This Study

Munehiro Terada (2026) studied this question.

synapsesocial.com/papers/6a0ea0f7be05d6e3efb5f5d8https://doi.org/10.5281/zenodo.20271997
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