This company provides an AI-powered Task Execution Software platform that translates work instructions for manual manufacturing tasks into reliable robotic execution. The platform enables scalable automation for high-mix, high-value tasks requiring precision and adaptability in unstructured environments. It delivers traceable, explainable automation that integrates with existing manufacturing systems to improve efficiency and quality control.
Funding
Funding not disclosed
Founders
Product
Problem
A significant portion of manufacturing operations still rely heavily on manual labor, which is often too variable, complex, or costly to automate with existing solutions. This dependence on manual processes limits scalability and hinders continuous process optimization.
Solution
Common Sense Robotics provides an AI-powered Task & Motion Intelligence platform designed to automate manual touch labor in manufacturing environments. The platform transforms human-readable work instructions into dynamic, context-aware guidance for both human workers and robots, ensuring reliable and flexible task execution. By integrating machine learning with symbolic reasoning, it digitizes, integrates, and automates manual workflows, enabling manufacturers to achieve scalable automation and improve operational efficiency. This approach allows for adaptive automation that can handle edge cases and variable conditions across entire task envelopes.
Target Audience
The primary customers are manufacturers seeking to automate manual touch labor, improve process optimization, and enhance operational reliability through AI and robotics.
Features
- AI-powered Task & Motion Intelligence platform for automating manual manufacturing tasks.
- Knowledge graph and logic-based primitives for scalable and cost-effective automation deployment.
- Dynamic process guidance that adapts to variable manual workflows and aligns with long-term operational goals.
- Automated transformation of static task knowledge into structured, smart work instructions for upskilling.
- Real-time, step-by-step guidance during task execution using live data and scene recognition.
- Situation-aware AI for automated quality control and validation of tasks during execution.
- Explainable, traceable, and audit-ready execution logs to meet industrial standards and data governance requirements.
- Cross-task robotic control that understands operational intent and adapts to new tasks and conditions.