Oli Robotics offers a hardware‑agnostic bimanual robot platform that learns contact‑rich food‑service tasks from a single human demonstration captured with force‑feedback gloves. The system plugs into existing coffee‑shop and dark‑kitchen equipment, executes the demonstrated task, and continuously improves performance via edge‑case reinforcement‑learning updates delivered through a cloud‑hosted model repository and subscription support.
Funding
Funding not disclosed
Founders
Product
Problem
Repetitive, contact‑rich tasks in coffee shops and dark kitchens—such as espresso extraction, milk steaming, cup handling, and ingredient portioning—require workers to perform the same motions thousands of times, leading to fatigue and high labor turnover. Existing robotic solutions are brittle, struggle with soft packaging and constantly changing menu items, and demand extensive reprogramming or dedicated equipment, limiting practical deployment in fast‑moving food‑service environments.
Solution
Oli Robotics provides an AI‑native bimanual robot system that learns directly from a single human demonstration using hardware‑agnostic force‑feedback gloves. The robot executes the demonstrated task on the operator’s existing commercial equipment, eliminating the need for facility redesign. During operation, any real‑world failure is captured as a training signal; a reinforcement‑learning pipeline updates the model both locally and across the fleet, continuously raising reliability from lab‑grade levels to production‑grade performance. The platform delivers a cloud‑hosted model repository, remote diagnostics, and a subscription service for ongoing model‑update and support, enabling operators to automate high‑volume, contact‑rich processes while retaining flexibility for menu changes.
Target Audience
The primary customers are coffee shop owners and dark‑kitchen operators that run a fixed menu in a constrained environment and seek to automate high‑repetition, contact‑rich food‑service tasks. Larger multi‑unit food‑service chains looking to standardize labor‑intensive processes also benefit from the solution.
Features
- HW‑agnostic force‑feedback gloves that record grip pressure, timing, and contact dynamics for accurate kinesthetic teaching
- Dual‑arm bimanual robot manipulators with dexterous end‑effectors capable of handling soft packaging, variable cup shapes, and delicate food items
- Plug‑and‑play integration with standard coffee‑shop and dark‑kitchen equipment (espresso machines, brewers, blenders, packaging stations) without custom tooling
- Demonstration‑to‑deployment workflow: one‑shot human demo → immediate robot execution → continuous improvement loop
- Real‑time edge‑case capture and reinforcement‑learning pipeline that updates models locally and propagates improvements across all deployed units
- Cloud‑hosted model registry and OTA (over‑the‑air) software updates for fleet‑wide performance gains
- Remote monitoring dashboard with diagnostics, usage analytics, and failure alerts for proactive maintenance
- Modular software stack supporting task‑specific plugins (e.g., latte art, ingredient weighing, tray loading) to tailor automation to a fixed menu