AI:List all military chief , general, technical heads which are dealing euthnAI humanoid robotics in various ways from US, UK, Canada, Middle East, Africa, Russia, Korea, China, Asia, Oceania since last hundred years. Which AI humanoid robotics can be deployed using various AI automated techniques and LLMs neural networks to get revenue using renewable and recycle resources of energy list all steps

 This is a big question. I couldn’t locate (in publicly available sources) a comprehensive list of all military chiefs / generals / tech heads over the last 100 years who have worked directly on humanoid robotics. But I can assemble what is known, some examples, and then outline how AI / robotics systems (especially humanoids) could be deployed in revenue‑generating ways using renewables / recycling etc., with technical steps. If you want I can try to do a more exhaustive list for specific countries.

Known Individuals / Leaders in Military‑Robotics / Autonomous Systems
Here are some people and roles (military, technical or defence research heads) who are or have been involved (directly or as overseers / decision‑makers) in robotics / autonomous systems / AI, some touching on humanoid robotics, across various countries (US, UK, others). Not all are strictly “humanoid robotics” but close related in autonomous / robotics.
Name / Role Country / Region Role / Relevance / What is known
Dr. Robert W. Sadowski US Army Chief Roboticist, Ground Vehicle Systems Center (US Army Futures Command) working in robotics & autonomous systems.
SAE Media Group
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SAE Media Group
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Colonel David Robertson Australia Director Robotic & Autonomous Systems Implementation & Coordination Office (RICO), Australian Army — leading concept development around autonomy, AI, robotics.
SAE Media Group
Colonel Toby Till UK Commander, Experimentation and Trials Group, British Army; engaged in trials, experimentation, capability delivery in robotics/autonomous systems.
SAE Media Group
+1
Lieutenant Colonel Iain Lamont UK SO1 Robotics and Autonomous Systems, British Army; involved in robotics & autonomous systems capability.
SAE Media Group
+1
Dr. Arshad Jamal India Robotics Scientist, Centre for AI and Robotics (CAIR), DRDO — in the defence R&D establishment.
SAE Media Group
V. S. Mahalingam India Director, Centre for Artificial Intelligence and Robotics (CAIR), DRDO.
Wikipedia
These are examples of technical heads or senior officers who are involved in robotics / autonomous systems or directing policy / experimentation / R&D. But note:
I couldn’t verify (in the sources I checked) many cases of military generals/chiefs from 50‑100 years ago working on humanoid robotics per se (humanoid robots are a newer domain, most started within the last few decades).
I found much more recent/modern roles (last 10‑20 years) rather than older ones.
Why older cases are rare / hard to find
Humanoid robotics as a field is relatively young (though ideas go back many decades). Until recent advances in sensors, computing, actuators, materials, control, etc., deploying humanoid robots was very limited.
Many military robotics efforts have focused on drones, autonomous vehicles, unmanned ground vehicles (UGVs), unmanned aerial vehicles (UAVs), rather than full humanoid robots.
Many records of “military chiefs” leading robotics are classified / not in public domain.
If you like, I can try to produce a more detailed list by country (US, China, Russia, Middle East, etc.) as far as available.
How could humanoid robotics + AI / LLMs / neural networks be deployed commercially / for revenue, using renewable or recycled energy resources
Here is a plausible architecture / steps for a system or strategy to deploy humanoid robotics in ways that generate revenue, especially leveraging renewable / recycled energy, AI/LLMs, etc.:
Possible Use‑Cases
First, to generate revenue you need applications. Some possible ones:
Logistics & warehousing (humanoid robots handling picking, packing, movement inside warehouses).
Inspection / maintenance in hazardous environments (nuclear plants, power plants, pipelines, waste treatment) where human exposure is risky.
Disaster response, search & rescue in dangerous or remote areas.
Elderly / healthcare / service sectors (assistants, caretakers).
Military / security contracting.
Entertainment, exhibitions.
Education & training (robotics labs, universities).
Leveraging Renewables & Recycled Energy Sources
To make the deployment sustainable and cost‑effective:
Use renewable energy sources to power the robotics system infrastructure: solar panels, wind, hydro, or biomass.
Use recycled / sustainable materials in construction (robot frames, components), and sustainable battery technologies (recycling, second‑life batteries).
Energy efficiency design: low power actuators, efficient computation (edge computing, efficient model architectures), power management.
Technical Steps & Architecture
Here’s a step‑by‑step outline of how to build & deploy such a system:
Step Description
1. Requirements & Use Case Definition Decide what tasks the humanoid robot must do; environment; load; autonomy level; safety constraints.
2. Hardware Design / Selection Select / design actuators, sensors, power systems, structural materials. Choose low weight, high efficiency. Include renewable energy integration (e.g. solar panels, battery storage). Use recyclable materials.
3. Energy Infrastructure If off‑grid or semi‑off‑grid, set up renewable power generation (solar, wind, etc.), battery storage, power distribution. Ensure regular maintenance & sustainable supplies.
4. Control Systems & Autonomy Build locomotion, balance, manipulation controllers. Use neural networks for perception (vision, LiDAR, etc.), mapping, SLAM, obstacle avoidance. Use LLMs or large‐language‐model based agents for higher‑level planning, interaction (if needed), natural language interface.
5. Training & Data Collect or use existing datasets for robot movement, human interaction, perception. Use simulation environments, reinforcement learning for dynamic behavior. Pre‑train perception / vision models with large datasets; fine‑tune on target environment.
6. Safety, Ethics & Testing Test in simulators, then controlled environments. Ensure safety constraints. Compute failure modes. For military / regulated uses, follow legal / ethical frameworks.
7. Deployment Deploy robot(s) in the field; monitor performance, maintenance; remote monitoring; possibly remote teleoperation fallback. Use renewable power infrastructure to keep operation costs low.
8. Maintenance, Upgrades & Scaling Continue improving models, sensor upgrades; reduce weight, improve efficiency; scale to multiple units; possibly networked/swarm coordination.
How to Generate Revenue
Revenue can come from several sources:
Contracting/Services: Offering humanoid robot as a service to industries for inspections, maintenance, logistics.
Government / Defence Contracts: Militaries or governments paying for robot systems, R&D, deployment.
Licensing / IP: If you develop core technologies (control algorithms, perception modules, design patents), license to others.
Customization / Product Sales: Selling robots or parts to industries, research labs.
Support / Maintenance / Aftermarket: Ongoing support, parts, software updates.
Data / Software Platforms: If collecting data, offering analytics services; offering platforms for robot control, fleet management.
Role of AI / LLMs / Neural Networks
Perception: Visual, audio/speech, tactile sensors feeding into deep learning networks to interpret environment.
Motion / Control: Reinforcement Learning (RL) for locomotion, manipulation; neural controllers for dynamic balance, adaptation.
Planning & Decision Making: LLMs or similar agents for high-level task planning, interaction, instructions; for example, robot receives a natural language mission, plans sub‑tasks.
Human‑machine interaction: For robots in service sectors or collaborative missions, using LLMs to understand and respond to humans.
Autonomous adaptation & learning: Online learning, adaptive control, possibly federated learning if multiple robots.
Challenges & Considerations
Battery capacity, weight vs power tradeoffs.
Safety, reliability in uncertain / unstructured environments.
Ethics, legal regulation (especially if military or security usage).
Maintenance & durability of hardware.
Cost of manufacturing, repair.
Data privacy & security.
Summary & What’s Needed
To fully map out who has been “military chief / general / technical head” in humanoid robotics across all those regions over 100 years would require:
Searching military archives, tech‑R&D reports, declassified documents.
Identifying military / defence R&D labs and who led them, for example in US (DARPA), Russia, China, UK (DSTL, etc.).
Checking published robotics / AI histories.
If you like, I can try to prepare such a list (for say US, UK, China, Russia, etc.) of key leaders over time, or narrow the timeframe (post‑1990, etc.) and get more precise. Do you want me to prepare that?
You said:
Yes
ChatGPT said:
Here are some of the more reliably documented — though by no means exhaustive — military, defence, R&D, or academic leaders (generals, technical heads, institutional heads) from various countries who have had significant roles in robotics / autonomous / AI systems (including humanoid / near‑humanoid / advanced robotics) especially in the last few decades. I focus where public information is available. If you want, I can try to dig up older historical cases or more from countries for which info is more scarce.
Key Figures by Country / Region
Country / Region Name / Position Role / Involvement in Robotics / AI / Autonomous Systems / Defence R&D
USA Stephen Winchell — Director, DARPA (as of May 2025) He leads DARPA, which funds many robotics & autonomy programs, including robotics, AI, autonomy, etc.
darpa.mil
USA Dr Robert W. Sadowski — Army Chief Roboticist, Ground Vehicle Systems Center, U.S. Army Futures Command He is a senior scientist / technical lead for robotics in U.S. Army, leading robotics and autonomous systems research and integration.
SAE Media Group
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USA Stuart Hatfield — Branch Chief, Robotics & AI, G‑8, U.S. Army / Robotics and Autonomous Systems lead Manages large budget and is lead integrator for Robotics & Autonomous Systems across US DoD / Army.
SAE Media Group
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USA Eric J. Wesley — Lieutenant General (retired), formerly in roles in Army Futures / advanced technology / command & control etc. Has been involved in higher strategic level concern for robotics / AI (though less directly technical than program managers) and after military in advisory / board roles in agentic AI systems.
Wikipedia
China Yang Xuejun — General; President of PLA Academy of Military Science As head of PLA’s AMS he oversees military research in defence science, which includes AI, robotics, etc. AMS is China’s top military science research institution.
Wikipedia
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Russia Sergei Shoigu — Defense Minister (when “Robotics 2025” programme approved) Russia’s “Robotics 2025” programme, which is intended to develop military robots across environments, was approved under him.
Defense Mirror
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Russia Roman Kordyukov — Deputy Head of Russian Defence Ministry’s Research & Innovation Department He has been cited as speaking about robotics R&D / testing / development in the Russian military robotics space.
Russia Beyond
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Other / International Lieutenant Colonel Iain Lamont — SO1 Robotics and Autonomous Systems, British Army Lead for robotics & autonomy in British Army HQ; deals with capability sponsorship / development of policy and requirements.
SAE Media Group
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Other US / Defence R&D Dr Chad C. Kessens — Senior Robotics Research Scientist, Autonomous Systems Branch, US Army ARL Leading robotics research (manipulation, autonomy) at the research lab level.
SAE Media Group
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If one tries to stretch further back (say 50‑100 years), some of the early pioneers in robotics / automatic control / cybernetics might qualify (e.g. engineers in Soviet Union, early US research labs), but the association with humanoid robotics in military leadership is mostly recent (last few decades), and in many cases those names are not in open sources.
If you like, I can try to extend this list by region — for example for UK, Canada, Middle East, Africa, Korea, etc. But info is patchy.
Do you want me to now try that expansion?
You said:
Yes
ChatGPT said:
Here is what I found by region (UK, Canada, Korea, Middle East etc.) of people / institutions with significant roles in robotics / AI / autonomous systems in defence / military‑adjacent sectors, plus gaps and uncertainties. There is much less public info about older generations or strictly “humanoid robotics” roles, so many entries are for more general robotics / autonomy / unmanned systems. If you want, I can try deeper archival sources later.
Key Figures / Heads, by Region
Region / Country Name / Position Role / Involvement
UK Admiral Sir Tony Radakin — Chief of the Defence Staff Tier‑top military head; visited DSTL and saw robotics demonstrations (e.g. “Ghost Dog” robotic canine) among other autonomous/human‑machine teaming research.
GOV.UK
UK Major General Phil Prosser, CBE British Army officer and engineer; Director Joint Support, UK Strategic Command. His background in Royal Electrical and Mechanical Engineers suggests involvement with mechanical/technical/engineering roles that overlap robotics / maintenance / logistics systems.
Wikipedia
UK John Healey — Secretary of State for Defence While civilian, plays policy / strategic direction; recent announcements that AI will play increasing role in UK armed forces; thus influencing robotics/autonomous systems.
The Guardian
UK David Roberts — CEO, ARX Robotics UK (formerly RN officer) After military service, now leading a robotics/AI firm developing uncrewed ground vehicles / autonomy systems for UK defence.
London Tech Week 2025
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Canada Rheinmetall Canada / Provectus Robotics Solutions Not a single “military chief” but institutional leaders: Provectus was acquired by Rheinmetall; they are key players in robotic systems / autonomous driving for military/security applications and government customers.
defence-and-security.com
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Rheinmetall
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Canada Independent Robotics (Montreal startup) Recognised in NATO’s defence innovation contexts; working on AI + robotics platforms (for defence tech, situational awareness) though again not a military general but a tech head.
ept.ca
+1
South Korea Shin Ick‑hyun — CEO of LIG Nex1 (former military) He had a long military career, including key posts in the Air Force and in strategic planning in the Joint Chiefs of Staff. Now leading LIG Nex1 which is acquiring robotics firms (e.g. Ghost Robotics) and developing autonomous systems.
Tech Xplore
+1
South Korea Chang Si‑kweon — CEO, Hanwha Systems Involved jointly with KAIST in developing AI‑based command systems, unmanned submarine navigation, autonomous/AI‑armed unmanned systems.
The Korea Times
South Korea Chief of Staff Kim Kyuha (Army) He recently visited an AI surveillance demo unit and a “Drone Workshop” where drones are manufactured, maintained and used for training. This indicates high‑level interest / oversight of robotics / autonomous / AI surveillance capabilities.
아시아경제
Middle East Major General Yousef Ahmed Al‑Hunaiti — Jordanian Armed Forces He opened / leads counter‑UAS / military unmanned systems conferences in ME & Africa. Suggests involvement / oversight in unmanned systems in the region.
asdnews.com
Middle East / UAE & Estonia Kuldar Väärsi — Founder & CEO, Milrem Robotics (UAE‑Estonia) While not a military general, leads a firm that supplies robotic vehicles (UGVs etc.) to military / defence / security agencies.
Wikipedia
Gaps & Observations
There is very little public information on older (say mid‑20th century) military generals or chiefs whose titles explicitly included “robotics” or “humanoid robotics” in most countries. The field is newer.
Many people are technical heads, R&D leaders, or in the defence industrial base rather than top generals whose portfolios are specifically robotics.
Much of the robotics being deployed now is ground vehicles, drones, UGVs/UAVs, etc., not full humanoid robots, which are more rare in operational deployment.
If you like, I can try to find for China, Russia, Africa, Oceania etc., more names (recent or historical) and map them into a timeline. Do you want me to proceed with that?