Lise DelobelPhysical AI

Physical AI · Robotics · Autonomous Systems

Physical AI as the New Frontier for AI Pioneers

Research, insights and field experience at the frontier of Physical AI — from humanoid robotics to autonomous systems and embodied intelligence.

  • MIT IDSS
  • PMP
  • Harvard
  • OpenUSD (NCP-OUSD)
  • Bilingual FR/EN
Lise Delobel climbing a mountain face, symbolising the frontier of Physical AI

About

I am a Physical AI consultant and project manager specialising in autonomous systems, robotics and embodied intelligence. After a career spanning large-scale industrial projects across Energy (Oil & Gas), Finance (CIB/Trading) and IT, I made a deliberate transition toward Physical AI — the frontier where artificial intelligence meets the physical world. I lead the LOGIE-AI consortium (France 2030), consult on GenAI programs at Vallourec, and am completing MIT's Physical AI program and OpenUSD certification.

Workshop session mapping a Physical AI programme

Research & Publications

Peer-reviewed papers, white papers and technical reports on Physical AI and autonomous systems

Robotics

Physical AI Frontiers — The Last Inch: Kinesthetic Sensing, Dense Clutter, and the Quantity a Camera Cannot Measure

July 2026

A field analysis of Amazon's contact-rich stow robotics deployment: how kinesthetic feedback corrects vision-only estimates, why compressibility is the variable no camera can measure, and what it means for industrial project managers buying embodied AI.

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Digital Twins

Digital Twins and AI/ML for Predictive Maintenance in Industrial Systems

2025

How physics-grounded digital twins combined with machine learning shift maintenance from scheduled to genuinely predictive across heavy industry.

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Robotics

Embodied Intelligence: Project Management Challenges in Physical AI Deployments

2025

Field lessons on governance, safety validation and cross-disciplinary teams when intelligent systems leave the screen and enter the workplace.

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Space

AI-Enabled Spacecraft Health Management

July 2026

Telemetry analytics, digital twins and bounded autonomy in the risk architecture of a satellite fleet: how ML anomaly detection, operational twins and tiered machine authority are moving spacecraft risk management from insurance transfer toward engineering resilience.

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AI/ML

OpenUSD as a Foundation for Physical AI Simulation Pipelines

2026

Why a shared scene description layer is becoming the connective tissue of robotics simulation, synthetic data and sim-to-real transfer.

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Insights

Field notes, analysis and perspectives on the Physical AI ecosystem

March 2026Robotics

What I learned visiting MIT AgeLab and Stanford's robotics labs

Two labs, two philosophies of embodiment — and a shared conviction that the hard problems are no longer purely computational.

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February 2026Physical AI

Why Physical AI is the next frontier for industrial project managers

The discipline that delivered refineries and trading platforms is exactly what robotics programmes are missing today.

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November 2025Robotics

LOGIE-AI: building AI companion robots under France 2030

Inside a national R&D consortium: consortium governance, hardware timelines and the reality of shipping embodied AI.

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Field Experience

2024–present

LOGIE-AI · France 2030 R&D consortium

Project Manager — AI companion robot platform

2024–present

Vallourec

GenAI PMO — three concurrent AI programs (ECHO+GENIUS, PLP TenderBoost, Safety AI)

April 2025

MIT IDSS

Data Science & Machine Learning Certificate

Summer 2026

MIT Professional Education

Physical AI Program

Speaking & Media

  • Paris Robotics Week — Panel

    Embodied intelligence in European industry

    June 2026

  • France 2030 · LOGIE-AI Public Session

    Companion robotics for ageing societies

    March 2026

  • Vallourec Digital Days

    Running three GenAI programmes at once

    October 2025

Available for keynotes, panels and expert commentary on Physical AI, robotics and autonomous systems. Bilingual FR/EN.

Contact

Based in Paris · Available internationally

I respond within 24 hours