Unseq supplies high‑payload articulated robotic arms equipped with AI‑based motion planning, vision, and force‑feedback to automate heavy‑lifting baggage handling on airport and logistics conveyors. The solution integrates with existing equipment, provides cloud‑hosted utilization analytics and predictive maintenance, and is available through purchase or lease with service agreements.
Funding
Funding not disclosed
Founders
Product
Problem
Airports and logistics facilities rely on manual baggage handling, which creates bottlenecks, limits throughput, and exposes workers to repetitive‑strain injuries and safety incidents.
Solution
Unseq delivers purpose‑built robotic systems that take over the heavy‑lifting portion of baggage handling. The robots combine high‑payload articulated arms with AI‑driven motion planning to pick, transport, and place luggage continuously and with millimeter‑level precision. Integrated force‑torque sensors and vision systems detect obstacles and adjust trajectories in real time, eliminating the need for human intervention on the main conveyor line. The platform is offered as a capital purchase or a lease, and includes remote diagnostics, predictive maintenance, and a cloud‑based analytics dashboard that reports utilization and performance metrics. An Innovation Lab extends the same robotics expertise to healthcare, exploring automated material transport for hospitals and clinics.
Target Audience
Primary customers are airport ground‑handling operators, cargo terminal managers, and third‑party logistics firms that require high‑throughput, low‑injury baggage processing solutions.
Features
- Six‑axis articulated robotic arm with 250 kg payload capacity, optimized for rapid pick‑and‑place of standard baggage containers
- Real‑time computer‑vision and force‑feedback loop for adaptive grasping and collision avoidance
- AI‑based motion‑planning engine that optimizes travel paths to maximize conveyor throughput
- Modular integration kit compatible with existing baggage‑handling conveyors, sorters, and RFID systems
- Edge‑controller running ROS 2 for deterministic control, with OTA firmware updates and cybersecurity hardening
- Cloud‑hosted operations dashboard offering KPI visualizations, utilization heatmaps, and automated maintenance alerts
- Remote monitoring and predictive‑maintenance analytics powered by machine‑learning models trained on vibration and motor current data
- Lease‑to‑own financing option with bundled service‑level agreements covering routine inspections and parts replacement