Our
Technology
At Jacobi Robotics, we're redefining what's possible in warehouse automation with advanced AI and real-time motion planning. Our technology transforms industrial robots from rigid machines into intelligent systems that adapt on the fly—enabling faster deployment, greater flexibility, and higher throughput.
We Let AI-Driven Software Do The Heavy Lifting
We let advanced motion planning and AI-driven software do the heavy lifting so users can easily customize, integrate, and operate even the most complex automation tasks.
Robots should adapt to people,
not the other way around.
T.B. Automation Expert
Real-Time Motion Planning
Traditional robots follow hand-coded waypoints - one mistake and they collide, slow down, or fail. Jacobi's proprietary motion planner lets robots compute optimized trajectories in real time. They avoid obstacles, adapt to changing conditions, and move efficiently without manual tuning or reprogramming.
Digital Twin and Simulation
Jacobi's software includes a user-friendly digital twin that mirrors the physical system in real time. Users can simulate the full application, test configurations, and iterate quickly - cutting weeks of engineering effort into hours.
AI-Driven Decision Making
With high-speed motion planning and accurate simulation, we train AI agents to do more than just move the robot - they make decisions. Using reinforcement learning, our robots learn from experience, adapt to changing environments, and automate tasks that are too complex for traditional programming, like random-order mixed SKU palletizing.
UC Berkeley / CMU / KIT
Based on Years of Research
Our founding team comes from robotics research at UC Berkeley, with connections to universities including Carnegie Mellon University, Imperial College London, and Karlsruhe Institute of Technology. There, we spent multiple years working on motion planning and AI for real-time decision making.
