InMind offers a fixed‑base, dual‑arm collaborative robot designed for high‑mix, low‑volume electronics assembly. The robot uses stereo vision, directional hearing, and embedded deep‑learning to learn and continuously optimize new tasks in real time without extensive reprogramming, while its fenceless safety system allows safe, shared work with human operators. InMind provides full installation, support, and service to enable rapid deployment and increased productivity for electronics manufacturers.
Funding
Funding not disclosed
Founders
Product
Problem
High-mix, low-volume (HMLV) electronics manufacturing requires frequent changeovers and task variability, which traditional fixed automation cannot accommodate without extensive reprogramming and specialist expertise. This inflexibility leads to low productivity, higher labor costs, and longer time‑to‑market for new product series.
Solution
InMind provides a fixed‑base, dual‑arm collaborative robot that incorporates embedded deep‑learning capabilities to learn new assembly tasks in real time. The robot observes its environment through stereo vision, directional hearing, and touch sensors, allowing it to adapt autonomously without prior programming. Its fenceless safety system detects human presence and equipment, ensuring safe operation alongside workers. By continuously optimizing its motions during production, the robot increases overall throughput while reducing the need for specialized training. The system is delivered with full installation, support, and service to enable rapid deployment in HMLV electronics assembly lines.
Target Audience
Primary customers are electronics manufacturing service providers and OEMs that produce high‑mix, low‑volume product lines and seek flexible, collaborative automation solutions.
Features
- Dual‑arm architecture with synchronized, human‑like grippers for versatile part handling
- Integrated stereo vision and depth perception for precise object detection and alignment
- Directional audio sensing to enhance situational awareness and task adaptation
- Embedded deep‑learning engine that learns and refines task execution on the fly
- Fenceless safety design that responds to nearby humans and equipment in real time
- Low training threshold and easy reconfiguration between product series
- Optimizes performance continuously during operation to improve productivity