# Humanoid Robotics Context

**Created:** 2026-03-11
**Status:** Draft
**Related:** [[Hexagon Role Analysis]], [[Job Hunt]], [[Career]]

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## Why Humanoid Robotics Matters Now

Humanoid robots are having a moment. After decades of research and failed commercial attempts, several factors have converged to make humanoids viable:

1. **Hardware costs dropped** - Actuators, sensors, compute have become affordable
2. **AI/ML matured** - LLMs enable natural language interfaces; vision systems are robust
3. **Labor shortages** - Aging populations in developed nations create demand for automation
4. **Investment flood** - Billions in VC and corporate funding since 2022

This isn't speculative anymore. Real companies are deploying real robots in warehouses, factories, and soon homes.

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## Key Players (2026)

### Tier 1: Serious Contenders

| Company | Focus | Funding/Backing | Status |
|---------|-------|-----------------|--------|
| **Tesla Optimus** | General-purpose, mass production | Tesla internal | Aggressive timeline, targeting 2025 production |
| **Figure AI** | General-purpose, enterprise | $675M (2024) + OpenAI partnership | Pilots with BMW, other manufacturers |
| **Agility Robotics** | Warehouse/logistics | $150M+ | Digit in production, deployments with Amazon |
| **Boston Dynamics** | Atlas platform | Hyundai | Advanced R&D, shifting to production |
| **1X Technologies** | Security/home | $100M+ | NEO robot in pilot deployments |

### Tier 2: Emerging / Specialized

| Company | Focus | Notes |
|---------|-------|-------|
| **Apptronik** | Industrial humanoid | NASA heritage, Apollo robot |
| **Sanctuary AI** | Cognitive robots | Phoenix robot, Canada-based |
| **Unitree** | Low-cost humanoids | Chinese, H1 model ~$100K |
| **Fourier Intelligence** | Rehab robotics | Chinese, GR-1 humanoid |
| **Pal Robotics** | Research platforms | Spanish, TIAGo family |

### Corporate Initiatives

| Company | Notes |
|---------|-------|
| **Hexagon Robotics** | New division (2025), Zurich-based, precision heritage |
| **Toyota Research Institute** | Long-term research, robotics focus |
| **Honda** | ASIMO heritage, renewed interest |
| **Samsung** | Investing in robotics startups |

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## Technical Landscape

### Core Challenges (Still Unsolved)

1. **Locomotion** - Bipedal walking on uneven terrain, dynamic balance, recovery from pushes
2. **Manipulation** - Dexterous hands, contact-rich manipulation, tool use
3. **Perception** - Real-time scene understanding, object recognition, human intent
4. **Planning** - Whole-body motion planning, task-level planning, real-time execution
5. **Control** - MPC for underactuated systems, contact dynamics, safety
6. **Integration** - Bringing it all together in real-time

### Why These Challenges Are Hard

- **Underactuation:** Humanoids have fewer actuators than degrees of freedom
- **Contact dynamics:** Contact forces are discontinuous, hard to model
- **Real-time constraints:** Planning/control must run at 100+ Hz
- **Safety:** Robots near humans require fail-safety

### State of the Art

**Locomotion:**
- MPC-based walking controllers (Boston Dynamics, IHMC)
- Learning-based approaches (reinforcement learning for robustness)
- Hybrid dynamics modeling

**Manipulation:**
- Contact-implicit planning
- Learning from demonstration
- Tactile sensing integration

**Planning:**
- Whole-body motion planning (still research-level)
- Behavior trees for task orchestration
- Integrated perception-planning-control

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## Market & Career Implications

### Why Work in Humanoids Now?

1. **Timing:** Industry is transitioning from research to early deployment
2. **Skills:** Robotics generalists with deep expertise in one area are valuable
3. **Network:** Early players will shape the industry for decades
4. **Mobility:** Skills transfer across robotics domains

### Career Paths

**Technical IC:**
- Senior Engineer → Staff Engineer → Principal Engineer
- Deep expertise in planning, control, perception, or manipulation
- Can stay technical indefinitely if desired

**Technical Leadership:**
- Senior Engineer → Tech Lead → Engineering Manager → Director
- Requires cross-team coordination and people skills
- System architects often move into leadership

**Founding / Early-stage:**
- Join early-stage company, get equity
- High risk, high reward
- Best if you want ownership and can tolerate uncertainty

### Skills Premium

**High-value skills:**
- Whole-body motion planning
- MPC for underactuated systems
- Contact-rich manipulation
- Real-time control systems
- Integration architecture

**Commoditizing skills:**
- Basic ROS proficiency
- Simulation setup
- General Python scripting

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## Hexagon Robotics Position

**What we know:**
- New division (2025) of Hexagon AB
- Based in Zurich
- Developing humanoid robots
- Parent company is global leader in precision measurement and metrology

**Implications:**
- **Stability:** Backed by large, profitable parent (less startup risk)
- **Precision focus:** Hexagon's heritage suggests emphasis on precision manipulation
- **Industrial applications:** Likely targeting manufacturing, quality control
- **Zurich ecosystem:** Strong robotics cluster (ETH Zurich, multiple companies)

**Career assessment:**
- Early-stage opportunity with growth potential
- Less equity upside than VC-backed startups, but more stability
- Technical work likely focuses on precision manipulation and industrial applications
- Good location for Claudio (Zurich-based)

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## Learning Resources

**Locomotion:**
- "Legged Robots That Balance" - Marc Raibert (classic)
- IHMC walking controller papers
- Boston Dynamics Atlas papers/videos

**Whole-body planning:**
- "Whole-Body Motion Planning" literature (ROS, IROS conferences)
- Contact-implicit trajectory optimization papers

**Manipulation:**
- "Robotic Manipulation" course (CMU, Stanford online)
- Dexterous manipulation literature

**General:**
- RSS (Robotics: Science and Systems) conference
- IROS, ICRA conferences
- Robohub.org for industry news

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## Open Questions for Hexagon Application

1. What's the team size? (Early = more ownership, later = more structure)
2. What's the technical stack? (ROS2? Custom? Simulation tools?)
3. What's the application domain? (Industrial? Service? General-purpose?)
4. How does Hexagon's metrology heritage influence the robot design?
5. What's the trajectory? (Research prototype → product timeline?)
6. Team culture? (Research-heavy? Engineering-heavy? Product-driven?)

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## Notes

- Industry is real this time, not just hype
- Technical challenges are hard but solvable
- Career timing is good: early deployment phase
- Hexagon = stable parent + early-stage opportunity
- Focus on motion planning and integration roles matches market demand

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**Tags:** #humanoid-robotics #industry-context #career #hexagon