XYZ Robotics

About XYZ Robotics

Established in 2018, XYZ Robotics is a technology firm centered on developing AI-driven robotic perception and manipulation capabilities to automate industrial and logistics workflows. The company was founded by a team with deep academic and research backgrounds in robotics: CEO Jiaji Zhou holds a Ph.D. in Robotics from Carnegie Mellon University; CTO Peter Kuan-Ting Yu earned his Ph.D. from MIT with a focus on robotic manipulation; and CBO Xingliang Libo has a Master of Economics from Peking University. The founding team's expertise was demonstrated through consistent top-three placements in the Amazon Robotics Challenges for three consecutive years prior to the company's formation.

XYZ Robotics addresses the market need for flexible automation in manufacturing and logistics, targeting repetitive and labor-intensive tasks. The company provides comprehensive solutions for clients in sectors such as e-commerce, retail, pharmaceuticals, automotive, and consumer goods. Its business model involves delivering both turnkey robotic workcells and standalone software systems to clients and system integrators. The company sources robotic arms from established manufacturers and integrates them with its proprietary software and hardware.

The core of XYZ Robotics' offering is its advanced hand-eye coordination technology, which combines 3D computer vision, deep learning algorithms, and motion planning to enable robots to handle complex tasks. This technology powers a range of applications, including piece picking, case picking, truck loading and unloading, and mixed-case palletizing. A key feature is a patented, rapid tool-changing system that allows a single robot to switch its end-effector in as little as 0.6 seconds, enabling it to grasp a wide variety of SKUs without sacrificing speed. The firm's products, such as the RockyOne and RockyLight Mobile Manipulation Robots, are designed for tasks like truck automation and mixed-case handling. These systems have demonstrated high performance, achieving accuracy rates of 99.9% and sorting speeds of up to 1,800 pieces per hour in client deployments. The company has secured significant venture capital, including a $20 million Series A+ round in 2020 and subsequent Series B rounds, to fuel its research, development, and global expansion.