Reimagine Robotics provides intelligent, dexterous robots that can be deployed directly into existing manufacturing or logistics workspaces and taught new manipulation tasks through simple demonstration. Operators use a no‑code interface to adapt a growing library of skills or create custom actions for contact‑rich operations such as screwing, prying, and handling deformable parts, enabling same‑day automation of variable or low‑volume processes.
Funding
Funding not disclosed
Founders
Product
Problem
Many manufacturing and logistics processes rely on manual, skilled labor for tasks such as screwing, prying, insertion, and handling deformable parts. Existing collaborative robots lack the dexterity and adaptability to perform these contact‑rich operations, limiting automation in variable or low‑volume production environments.
Solution
Reimagine Robotics offers intelligent robots that can be deployed directly into existing workspaces and taught new manipulation skills through simple demonstration. Operators can adapt a growing library of pre‑built skills or create custom actions without writing code or having advanced robotics expertise. The system learns from each interaction, improving performance over time and enabling same‑day rollout of new product variants or processes. By providing on‑demand, dexterous automation, the platform reduces reliance on manual labor while maintaining the flexibility required for variable work.
Target Audience
Primary customers are manufacturers and logistics operators that need flexible, dexterous automation for assembly, disassembly, and material handling tasks, especially in environments with frequent product changes or low‑volume production.
Features
- Integrated vision and force‑feedback sensors that enable precise screwing, prying, insertion, and handling of deformable objects
- Skill library with reusable manipulation primitives that can be adapted to new tasks through demonstration
- No‑code teaching interface allowing operators to train the robot by physically guiding it, similar to onboarding a new employee
- Autonomous execution of taught skills with real‑time error detection and correction
- Modular hardware design that supports easy integration with existing equipment such as 3D printers or disassembly stations
- Cloud‑connected analytics that track usage, performance improvements, and suggest skill refinements