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How Old Is Cassie, the Humanoid Robot by Boston Dynamics and Agility Robotics?

Cassie is a bipedal humanoid robot developed by Agility Robotics, a spin-off from Oregon State University. The robot was first publicly introduced in 2017 as a research platform...

Mara Ellison
How Old Is Cassie, the Humanoid Robot by Boston Dynamics and Agility Robotics?

What Is Cassie the Robot

Cassie is a bipedal humanoid robot developed by Agility Robotics, a spin-off from Oregon State University. The robot was first publicly introduced in 2017 as a research platform for dynamic walking and running on rough terrain. Cassie was designed to resemble a bird-like lower body with no torso or arms, focusing on efficient locomotion and balance. The project later evolved into Digit, a full-body commercial robot for logistics and warehouse tasks. Agility Robotics has continued to refine the Cassie platform while using it as a foundation for newer models.

The robot was built to test advanced control algorithms for bipedal movement, including stair climbing, uneven ground traversal, and recovery from disturbances. Cassie uses a combination of sensors, actuators, and model-based control to achieve dynamic gaits similar to human walking and running. Researchers used Cassie to study energy-efficient locomotion and robustness in real-world outdoor conditions. The platform has been deployed for studies in robotics, biomechanics, and autonomous systems at universities and research labs. Cassie remains a key reference in open research on legged robotics and humanoid mobility.

How Old Is Cassie and When Was It Created

Cassie was first revealed to the public in 2017, making the platform several years old as of the latest updates. Agility Robotics introduced Cassie as the successor to earlier bipedal research robots developed at Oregon State University. The robot was funded through academic grants and partnerships with agencies such as the National Science Foundation. Early versions of Cassie were used in university labs to refine walking controllers and hardware durability. The initial release marked a shift toward more practical, outdoor-capable humanoid locomotion research.

Since 2017, Agility Robotics has iterated on the Cassie design, improving actuators, battery life, and control software. The platform has been used in multiple research papers and public demonstrations, including outdoor running and stair climbing tests. Cassie served as the base platform for the development of Digit, Agility Robotics' commercial humanoid robot. Updates to the Cassie system have continued through 2024, with new control methods and sensor integrations. The age of the Cassie platform is therefore tied to its ongoing evolution rather than a single static release.

Cassie's Role in Robotics and Industry

Cassie has been used in academic and industry research on bipedal locomotion, dynamic balance, and autonomous control. The robot has appeared in studies on reinforcement learning for walking and running, often in collaboration with university robotics labs. Cassie's open reference design has allowed researchers to test new algorithms for legged robots in unstructured environments. The platform has also been used to benchmark control systems for robustness, efficiency, and adaptability. These research contributions have influenced the development of both research robots and commercial humanoid platforms.

Agility Robotics later commercialized the Cassie lineage through the Digit robot, which is designed for logistics and material handling tasks. Digit builds on Cassie's locomotion capabilities by adding a torso, arms, and perception systems for warehouse and factory environments. The transition from Cassie to Digit reflects a broader industry trend toward practical humanoid robots for repetitive or physically demanding work. Cassie remains relevant as a research platform while Digit is deployed in early commercial and pilot programs. The Cassie and Digit platforms are supported by Agility Robotics' ongoing partnerships with logistics companies and research institutions.

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