Framework
The Robot Intent Signaling Framework
Human acceptance of robots in shared spaces depends almost entirely on whether people understand what the robot is about to do. Robots that communicate intent are tolerated. Robots that don't are feared.
How it works
- 1Blinking lights for turns, color changes for speed — now mandated by industrial safety standards.
- 2Robots must distinguish a pallet from a person and react differently to each.
- 3The sidewalk problem: robot and human walking toward each other must negotiate who yields — as humans do with eye contact.
- 4Humans are instinctively skeptical of humanoid robots because human-to-human interaction evolved around detecting threat and intent.
- 5The uncanny valley activates when a robot looks human enough to trigger social expectations but fails to meet them.
Hear it on the podcast
The Uncanny Valley Is RealListen to the episodeMore from this episode
Scale vs ControlControl creates staged stability. Scale demands adaptation under change.Infrastructure vs IntelligenceMarkers and tape are training wheels. Vision-based autonomy uses natural features.The 'Eyes and Brain' StrategyBe the critical subsystem, not the entire robot. Win by becoming the platform layer.Robustness MoatShipping early in harsh conditions forces maturity. Reliability beats demos.Social Robotics LayerIntent signaling builds trust. Human prediction and negotiation improve acceptance.Deep Tech Commercialization PathFrom university spinout to strategic acquisition — a staged funding and validation roadmap.The Tier One Supplier StrategyDon't build the whole product. Build the critical component everyone needs. Being a tier one supplier means more customers, faster defensibility, and IP that acquirers want to internalize.The Flagship Project FrameworkGet a real customer project as early as possible, even before you're ready. Pain of delivering under real-world pressure produces maturity no internal roadmap ever could.
Get the next framework first
One email a week with the frameworks, tools, and founder stories from the podcast. Free.
More frameworks for AI & Automation
The 2026 Lean StackClaude Code for $20/month as your mobile CTO. Assign tasks, demand a plan before any changes, and apply your domain expertise to sign off. Replaces what used to require a full team.The Science Fiction Challenge MethodDon't mandate AI tool adoption. Put impossible-sounding challenges in front of your team and let the tools earn their usage organically.Bionics vs. RoboticsThe frame you use to think about AI agents determines where you apply them. Bionics augments human capability. Robotics replaces it. The difference changes everything downstream.The Enterprise Agent Control PlaneEnterprises deploying AI agents at scale need a centralized governance layer — the same way the iPhone created demand for mobile device management.The Expert Agent SystemTrain an AI agent on your own IP, frameworks, and operator transcript to answer domain questions at scale. The context you bring to the model — not the model itself — is where the product value lives.The AI Native TestTrue AI native products identify specific moments in the workflow where prediction, pattern matching, or reasoning change what is possible — and build there. If the answer is 'add a chat box,' you are building a wrapper.