Physical Address
Gujarat, India
Physical Address
Gujarat, India
Robot Name: Cassie
Company / Institute: Agility Robotics
Location: Oregon, USA
Inception: 2017
Sensors: IMUs, force sensors, joint position encoders, and LiDAR
Skills: Dynamic walking, balancing, navigation on uneven terrain, stair climbing
Industry: Logistics, Research, and Development
Programming Languages: Python and C++
Commercial availability: Yes, it is commercially available.
Cassie was invented at Oregon State University’s Dynamic Robotics Lab, under the leadership of Agility CTO Jonathan Hurst, and was Agility’s first commercial robot.
Checkout other robot (s) by Agility Robotics here.
Cassie, a groundbreaking bipedal robot by Agility Robotics, revolutionizes the world of legged robots with its robust design and adaptability. Introduced in 2017, Cassie combines advanced mobility with precise engineering, making it an ideal platform for research, development, and various commercial applications. Its unique ability to balance dynamically and traverse challenging terrains mimics the gait of humans, setting it apart from traditional wheeled or tracked robots.
Cassie can walk forward, backward as well as sideways like we humans can do, in fact, somewhat better than us. During the testing and experimenting phase, Cassie has gone through a lot and lot of practice and after all these efforts, it was able to achieve the honor of a record holding robot. In the video links shared at the bottom of this blog, it can be seen how Cassie has been working hard to achieve it’s aim. (Obviously, it is the team at Agility Robotics that is working hard, not Cassie itself :-))
Featured image credits : Agility Robotics (Official website)
“The information in this blog is sourced from the official website of Agility Robotics and other publicly available resources online.”
Cassie does not only hold a record of fastest 100 meter by a bipedal robot. It is also the first bipedal robot to use machine learning to control a running gait on outdoor terrain, completed the 5 kms on Oregon state’s campus untethered and on a single battery charge.
Technology:
Cassie leverages cutting-edge actuator technology and advanced control algorithms to replicate the natural movement of human legs. The robot’s onboard sensors, including IMUs and force sensors, provide real-time feedback for balance and navigation, ensuring agility and adaptability in complex environments.
Programming Languages:
Cassie’s software is primarily built using Python and C++, combining Python’s ease of scripting for high-level control with C++’s efficiency for real-time computations. This dual-language approach allows developers to prototype quickly while maintaining optimal performance.
Current use:
Cassie is utilized in academic research institutions for studying legged locomotion, as well as in logistics and delivery trials by companies exploring next-generation automation solutions.
Specifications :
Image credits for the above pictures : Agility Robotics
Agility Robotics / Cassie
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