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ROBOTICS FUTURE / Humanoids in every warehouse

A 13-slide field briefing on the next decade of physical AI: humanoid platforms, autonomous agriculture, and robotic surgery.

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A 13-slide field briefing on the next decade of physical AI: humanoid platforms, autonomous agriculture, and robotic surgery. Key sections include: Industry Briefing; ROBOTICS FUTURE / Humanoids in every warehouse.; The Current Wave; Why Now; The Supply Chain; Warehouse / Pick-and-Pack; Agriculture / Field Robotics; Surgery / Precision Platforms; Eldercare / Assistive Robotics; The Hard Part / Dexterity.

Key sections

  • 01Industry Briefing
  • 02ROBOTICS FUTURE / Humanoids in every warehouse.
  • 03The Current Wave
  • 04Why Now
  • 05The Supply Chain
  • 06Warehouse / Pick-and-Pack
  • 07Agriculture / Field Robotics
  • 08Surgery / Precision Platforms
  • 09Eldercare / Assistive Robotics
  • 10The Hard Part / Dexterity
  • 11The Data Problem
  • 12Safety + Regulation
  • 13The Honest Assessment
  • 14References / Further Viewing

Topics covered

catalogfuturerobotics

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Slide outline
  1. 01Industry Briefing
  2. 02ROBOTICS FUTURE / Humanoids in every warehouse.
  3. 03The Current Wave
  4. 04Why Now
  5. 05The Supply Chain
  6. 06Warehouse / Pick-and-Pack
  7. 07Agriculture / Field Robotics
  8. 08Surgery / Precision Platforms
  9. 09Eldercare / Assistive Robotics
  10. 10The Hard Part / Dexterity
  11. 11The Data Problem
  12. 12Safety + Regulation
  13. 13The Honest Assessment
  14. 14References / Further Viewing
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Updated
2026-05-17
LLM text
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Presentation Transcript

Detailed slide-by-slide text content extracted from this presentation.

Slide 01

Industry Briefing

  • SPEC SHEET / VOL.13
  • REV 2026.05
  • CLASSIFIED // FORWARD-LOOKING
  • ROBOTICS
  • FUTURE/Humanoids
  • in every warehouse.
  • A 13-slide field briefing on the next decade of physical AI: humanoid platforms, autonomous agriculture, and robotic surgery.
  • FILE: FUT-ROB-2026-001 // PRESS SPACE OR → TO ADVANCE
Slide 02

The Current Wave

  • 02 / 13SECTION A — LANDSCAPE
  • STATUS: ACTIVE
  • A handful of companies are racing to build the first general-purpose humanoid.
  • Five years ago this was sci-fi. Today, multi-billion-dollar bets are being placed on bipedal robots that can walk, lift, and manipulate.
  • Tesla
  • Optimus Gen 2
  • target: $20-30k unit price
  • Figure
  • Figure 02
  • BMW pilot, OpenAI partnership
  • 1X Technologies
  • NEO Beta
  • consumer-home positioning
  • Apptronik
  • Apollo
  • Mercedes manufacturing trial
  • Unitree
  • G1 / H1
  • $16k starting — China cost edge
  • Boston Dynamics
  • Atlas (Electric)
  • Hyundai integration
Slide 03

Why Now

  • 03 / 13SECTION A — DRIVERS
  • CONVERGENCE INDEX: HIGH
  • Three curves crossed at once.
  • AI ControllersTransformer-based VLA (vision-language-action) models can map raw camera input to motor commands. Behavior cloning + RL closes the loop that classical control could not.
  • Actuator CostBrushless motors, harmonic drives, and force-torque sensors have dropped 5-10x in a decade as drones and EVs scaled the supply base.
  • Battery DensityEV-grade Li-ion now delivers 250-300 Wh/kg, enough to run a 60kg humanoid for 4-5 hours of light work on a single charge.
  • FIG.03 — CONVERGENCE OF ENABLING TECHNOLOGIES, INDEXED 2015=1
Slide 04

The Supply Chain

  • 04 / 13SECTION B — SUPPLY CHAIN
  • BOM ANALYSIS
  • A humanoid is a rolling manifest of geopolitically scarce parts.
  • Every robot pulls components from a small set of dominant suppliers. Choke points define who builds at scale.
  • Precision Reducers
  • Harmonic Drive · Nabtesco
  • JP duopoly · 14-30 per humanoid
  • Battery Cells
  • CATL · BYD · LG Energy
  • CN/KR · 2-5 kWh per unit
  • Compute
  • NVIDIA Jetson / Thor
  • edge inference · 100-500 TOPS
  • Permanent Magnets
  • NdFeB rare earths
  • ~85% China refining share
  • Force/Torque Sensors
  • ATI · Bota · Robotiq
  • tactile feedback bottleneck
  • Vision
  • RGB-D · LiDAR · IMU
  • Sony/Intel/Bosch silicon
Slide 05

Warehouse / Pick-and-Pack

  • 05 / 13USE CASE 01
  • DEPLOY: 2025-2028
  • The first market is the dirtiest, dullest, and most measurable.
  • Amazon, GXO, FedEx, and DHL already run thousands of mobile robots. Humanoids slot into the last meter — the bin, the conveyor, the trailer floor.
  • Workload1,200+ picks/hr ceiling for humans; humanoids target 600 today, 1,000 by 2027.
  • EconomicsBreak-even at ~$10/hr fully-loaded (incl. depreciation, downtime, supervision).
  • PilotFigure at BMW Spartanburg; Apptronik at Mercedes; Digit (Agility) at GXO.
  • FIG.05 — HUMANOID PICK-AND-PACK SCHEMATIC
Slide 06

Agriculture / Field Robotics

  • 06 / 13USE CASE 02
  • DEPLOY: ACTIVE
  • Fields are open, structured, and labor-starved — the perfect first frontier.
  • John Deere's autonomous 8R tractor and 9.7L sprayer have been operating since 2022. Carbon Robotics' LaserWeeder kills 200,000 weeds an hour with no chemicals.
  • TractorsJohn Deere · CNH · Monarch — full autonomy on row crops, GPS-RTK accuracy ±2 cm.
  • HarvestersTortuga (strawberries), Advanced Farm (apples), Saga Robotics (raspberries).
  • Weeding/ScoutingCarbon Robotics, FarmWise, Naïo — computer vision + actuators replace herbicide.
  • AerialXAG, DJI Agras — swarm spraying at 40 ha/hr per unit.
  • FIG.06 — DRONE OVERHEAD + GROUND-UNIT FIELD COVERAGE
Slide 07

Surgery / Precision Platforms

  • 07 / 13USE CASE 03
  • DEPLOY: MATURE
  • The most profitable robot in the world wears scrubs.
  • Intuitive Surgical's da Vinci system has performed over 14 million procedures. The category posted $7.1B in 2023 revenue with operating margins above 30%.
  • Intuitive Surgical
  • da Vinci 5
  • ~9,000+ systems installed
  • Stryker
  • Mako
  • orthopedic / joint replacement
  • Medtronic
  • Hugo RAS
  • soft-tissue, modular arm
  • CMR Surgical
  • Versius
  • UK · portable form factor
  • Vicarious Surgical
  • v1.0
  • single-port, VR-control
  • Johnson & Johnson
  • Ottava
  • 2024+ trial entry
  • "Robotic-assisted surgery is the rare physical-AI category where the unit economics already work — and have for two decades.— Industry analyst, 2024
Slide 08

Eldercare / Assistive Robotics

  • 08 / 13USE CASE 04
  • DEPLOY: 2027-2032
  • Demographics will force the question, faster than the technology is ready.
  • Japan will have one care worker per two seniors by 2040. Germany, Italy, Korea, and China face the same wall. The robot doesn't have to be a humanoid — but it has to be physical.
  • Lift AssistToyota HSR, RIBA — transfer patient between bed and chair without back injury.
  • Fall DetectionAmbient radar + computer vision; sub-2-second alert to caregiver.
  • MedicationPill dispensing with reminder loop, biometric verification.
  • CompanionshipPARO seal, ElliQ — conversational + touch-responsive, slowing cognitive decline in trials.
  • Demographic Forcing Function
  • 2.1 billion people over 60 by 2050.
  • UN World Population Prospects · global care-worker gap est. 13M by 2030 (WHO)
  • Japan — Reference Market
  • 29.1%
  • share of population over 65 (2024)
Slide 09

The Hard Part / Dexterity

  • 09 / 13SECTION C — HARD PROBLEMS
  • UNSOLVED
  • A two-year-old's hands are still ahead of every robot ever built.
  • Walking is a solved problem. Talking is solved. Picking up an unfamiliar object without crushing it or dropping it remains an open research frontier.
  • The bottleneck is tactile sensing density, sub-millisecond control loops, and a missing dataset. Most "humanoid demos" use carefully chosen objects in controlled poses.
  • Skin SensorsHuman fingertip ≈ 240 mechanoreceptors/cm²; best robot tactile arrays ~5/cm².
  • ComplianceSeries-elastic actuators trade speed for safety; impedance control still hand-tuned per task.
  • GeneralizationModels trained on rigid blocks fail on cloth, deformables, transparent objects.
  • FIG.09 — UNSTRUCTURED GRASP · CONFIDENCE: LOW
Slide 10

The Data Problem

  • 10 / 13SECTION C — DATA
  • SCARCITY: HIGH
  • Real-world manipulation data is the new oil.
  • There is no internet of robot demonstrations. Every action — every grasp, lift, place — must be captured from teleoperation rigs, sim-to-real pipelines, or in-deployment self-supervised collection.
  • Teleop
  • Humans wear VR rigs and puppet robots through tasks. Slow, expensive, high quality.
  • Simulation
  • Isaac Sim, MuJoCo. Cheap, scalable, but suffers reality gap on contact physics.
  • Video Pre-train
  • Pre-train policies on YouTube/egocentric video. Action labels hard to recover.
  • Fleet Learning
  • Deployed robots upload trajectories. Compounding moat for whoever ships first.
  • The first company to deploy a million humanoids will have a dataset no one else can buy.— THE NEW MOAT
Slide 11

Safety + Regulation

  • 11 / 13SECTION D — POLICY
  • REGULATION: NASCENT
  • When a 60-kilogram robot shares a hallway with a child, who is liable?
  • Industrial robots have lived behind cages for 60 years. Cobots loosened that. Humanoids will demolish it. The legal and insurance frameworks are not ready.
  • StandardsISO 10218 (industrial), ISO/TS 15066 (collaborative), ISO 13482 (personal care). Humanoid-specific: pending.
  • LiabilityProduct liability vs. operator negligence vs. AI-decision liability — unsettled in every major jurisdiction.
  • CybersecurityA compromised humanoid is a remote weapon. Few standards mandate signed firmware or kill-switch redundancy.
  • Labor PolicyTax and retraining frameworks (UBI, robot tax) still theoretical at national scale.
  • EU AI Act — physical robots
  • High-risk classification likely for humanoids in workplaces and public spaces; conformity assessments required.
  • phased compliance: 2025-2027
  • Open Question
  • Should humanoids be required to identify themselves as non-human in public?
  • no jurisdiction has answered
Slide 12

The Honest Assessment

  • 12 / 13SECTION E — OUTLOOK
  • CONFIDENCE: MIXED
  • Industrial expansion is certain. Humanoid mass-market is a 2030s story.
  • Near-term · 2025-2027
  • Bounded autonomy
  • Surgery scales; agriculture scales; warehouse pilots.
  • Mid-term · 2027-2030
  • Industrial humanoid
  • Single-task humanoids in factories. 100k-class fleets per OEM.
  • Long-term · 2030-2035
  • Multi-task humanoid
  • Cross-task learning works. Per-unit cost < $25k. Eldercare opens.
  • Speculative · 2035+
  • Domestic humanoid
  • Kitchen-grade dexterity. Mass consumer market. Skeptics still skeptical.
  • The hype cycle is loud, but the underlying capital allocation is real. Even a fraction of the announced humanoid roadmaps would create a multi-hundred-billion-dollar component industry by 2030 — independent of whether any humanoid OEM achieves the consumer dream.
Slide 13

References / Further Viewing

  • 13 / 13SECTION F — REFERENCES
  • END OF BRIEFING
  • Watch the machines move.
  • YouTube · Search
  • https://www.youtube.com/results?search_query=tesla+optimus+humanoid
  • YouTube · Search
  • https://www.youtube.com/results?search_query=figure+ai+humanoid+robot
  • Industry Source
  • Intuitive Surgical 10-K · NVIDIA GTC keynotes · Boston Dynamics technical blog · IFR World Robotics Report · ARK Invest Big Ideas
  • Companies Tracked
  • Tesla · Figure · 1X · Apptronik · Unitree · Boston Dynamics · Agility · Intuitive · Stryker · Medtronic · John Deere · Carbon Robotics · CATL · NVIDIA · Harmonic Drive
  • FILE: FUT-ROB-2026-001 // PRESS ← TO REVIEW
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