Cognitive Robotics for Industry
Four workshops for strategy, engineering, and scaling -- from use case validation to a productive robot pilot.
The Four Workshops
Modular by design -- from entry point through strategy and deep tech to scaling through partners.
Use Case & Autonomy Validation
Clarity before budget moves.
- Format
- 1 day · up to 8 people · on-site or remote
- Audience
- Innovation managers, department heads, project leads
Avoids "pilot purgatory". Use cases are systematically scored against business impact, data availability, and realistic autonomy level -- before pilots become dead ends.
Day structure (4 phases)
- 01Alignment — Autonomy scale 0-5, ODD (Operational Design Domain), and expectations calibrated
- 02Use Case Deconstruction — Tasks broken down into "gestures", autonomy levels assigned
- 03Validation & Risk Mapping — AUCA Blueprint, safety and fallback strategy
- 04Roadmap & Economics — ROI calculation, implementation roadmap
Assets used
AUCA Blueprint (Autonomous Use Case Alignment) · DDT Breakdown Deck · ODD Environment Audit · Autonomy Readiness Scorecard · Digital Twin Sandbox (optional)
Outcome
Validated requirements specification + prioritized backlog with business cases.
Robotics Strategy Workshop
From hype to roadmap.
- Format
- 1-2 days · executive & strategy level
- Audience
- Executive board, plant management, strategy planning
Understand VLA disruption, find brownfield leverage, model ROI. Embodied AI at board level.
Building blocks
- 01Moravec's Paradox — why the leverage of automation is reversing right now
- 02Use Case Discovery — re-evaluate processes that were previously not automatable
- 03ROI Modeling — hardware, cloud, implementation against the status quo
- 04Custom AI Roadmap — 12-, 24-, and 36-month horizon with milestones
Methodology
Design Thinking for Embodied AI · Business Model Canvas for agentic systems · brownfield audit of existing infrastructure · hands-on assessment with live examples
Outcome
Strategic roadmap at executive level with clear milestones for 12, 24, and 36 months.
Physical AI Deep Dive
From dataset to runnable VLA model.
- Format
- 3-5 days · "done-with-you"
- Audience
- ML engineers, software developers, automation engineers
Three to five days hands-on. Fine-tune foundation models on your industrial tasks -- from dataset to sim-to-real transfer.
Engineering blocks
- 01VLA Fine-Tuning — OpenVLA, Pi-0, RT-X · action tokenization
- 02Data Engineering — teleoperation, human-to-robot transfer, synthetic data
- 03Sim-to-Real Transfer — NVIDIA Isaac Sim · pre-train on millions of interactions
- 04Cloud-to-Edge Deployment — secure, low-latency inference on robot controllers
Stack
PyTorch · ROS 2 · Hugging Face · NVIDIA Isaac Sim/Lab · JupyterHub sandbox per participant · pre-installed VLA models and datasets
Outcome
A runnable VLA model on your use case, deployable to robot controllers.
Partner Network
Make robotics your service.
- Format
- Train-the-trainer · multiplier program
- Audience
- Consultancies, system integrators, regional implementation partners
Become certified EmAI partners. EmAI remains the technical brain; partners deliver on-site integration and sales.
Three-tier model
- 01Bronze · Referral Partner — lead introduction, commission on net workshop revenue
- 02Silver · Certified Training Partner — independent delivery of standard workshops under EmAI brand, license fee per participant
- 03Gold · Strategic Solutions Partner — complex implementations with 3rd-level support, co-marketing, and cloud orchestration
Train-the-trainer format
Certified curriculum · cloud sandbox · co-branding material
Division of labor
EmAI delivers "cognitive brains" and fleet orchestration -- partners deliver hardware and on-site integration.
Engagement Path
Three steps from first conversation to a productive robot pilot -- each step validates the next.
Validation
Use Case & Autonomy Validation (Workshop 01)
Clarity on feasibility, autonomy level, ROI
Pilot
Robotics Strategy + Physical AI Deep Dive (Workshop 02 + 03)
Roadmap at executive level, hands-on prototype in parallel, runnable model
Scaling
Partner Network (Workshop 04)
Rollout via certified partners
Impact
In 6-12 months from first use case to a productive robot pilot -- without the classic pilot purgatory.
Audiences
Three segments, three entry paths.
Industry
Strategy + Deep Dive
Automotive, electrical, machinery, consumer goods. Complex manipulation, quality control, flexible material handling.
Mid-Sized Companies
Validation + Partner Network
Labor shortage as the driver. Affordable entry through the partner network.
Public Sector
Strategy + Deep Dive
Inspection, clinic logistics, city operations, disaster response. Robots where staff is missing.
Free 30-minute first conversation
We assess your use case and recommend the right format.