Object Tracking for High-Speed Pick-and-Place Robot

The demand for eCommerce and online orders has risen rapidly in recent years, this drives the need for highly efficient and automated item sortation systems. Kindred AI is a technology company with the objective to bring artificial intelligence and robotic technologies into the workforce of eCommerce, parcel and order fulfillment. As a part of the effort to achieve accurate and robust robot grasping and placing tasks in such workforces, this research project aims to leverage modern machine learning and computer vision algorithms to enable safe, accurate, and fast item handling operations. In particular, the proposed research project will focus on designing and prototyping an intelligent and efficient item tracking system capable of predicting an item’s location in the near future in a robotic manipulation environment. Successes in this research will bring advancement in the partner organization’s robotic product and improve the safety and productivity in the human-robot workforce.

Faculty Supervisor:

Lueder Kahrs

Student:

Partner:

Ocado Technology

Discipline:

Computer science

Sector:

Artificial Intelligence; Technology; Information and Communications Technology

University:

University of Toronto

Program: