Thesis project: detecting and compensating for mast deflection on a self-driving forklift

Responsibilities

• ▹Collect and analyze data on mast deflection
• ▹Modeling
• ▹Implement a proof-of-concept solution
• ▹Test models and the solution on real hardware
• ▹Sensor fusion
• ▹Investigate whether the variation between the theoretical and actual load position at high lifts can be compensated in real time, using different sensors combined with machine learning, data analysis, sensor fusion or modeling

Requirements

• ▹Students in Engineering Physics, Electrical Engineering, Mechanical Engineering or Computer Engineering, or equivalent
• ▹Scope: 2 people, 15-30 credits

About the company

Toyota Material Handling is a world leader in material handling. At its site in Mjölby, Sweden, 3,000 employees work from development concepts to finished vehicles; the product range spans from manual hand trucks to autonomous vehicles and innovative energy solutions.