Case Study: Stanley Robotics cuts robot part mass by up to 30% and reduces mechanical part costs up to 20% with Altair simulation

Stanley Robotics - Customer Case Study

Stanley Robotics, a deep-tech company that builds autonomous valet robots capable of moving cars up to 2,600 kg, needed to demonstrate that its robots were fast, reliable, and durable enough for the car logistics market. To meet tight timelines for mechanical sizing, fatigue calculations and proving years of service life, Stanley chose Altair and its simulation suite—Altair Inspire, Inspire Motion and Altair MotionSolve—because of their rapid, precise calculation capabilities, strong support and startup-friendly licensing.

Altair implemented a virtual validation workflow using Inspire Motion and MotionSolve to create a multi-body digital twin with flexible bodies and realistic durability scenarios, enabling pre-sizing, load and fatigue analysis, and sensitivity studies. As a result, Stanley developed the digital twin in under a year, reduced mechanical part mass by up to 30% and part cost by up to 20%, ensured a 10-year service-life standard, sped up computation and validation cycles, and can now deliver faster, lighter, more cost-effective robots thanks to Altair’s solutions.

Stanley Robotics

Mathieu Lips

Vice President of Engineering