Cassie Capabilities

Capability

Research Platform

Source-backed capabilities

  • Workflows: Bipedal locomotion research, controller development, robot learning, mobility validation and platform experimentation.
  • Operating environments: Academic labs, industrial R&D sites, locomotion research programs and robot-learning environments.
  • Target markets: Researchers, universities and industrial R&D teams studying legged robot mobility.
  • Deployment model: Commercial research-platform model used before Agility's warehouse-focused Digit product.
  • Dynamic locomotion - Research demonstration - 2024-01-30 - The IJRR study presents a reinforcement-learning controller for standing, walking, running, jumping, and other dynamic bipedal skills. - source: arxiv.org
  • Multi-terrain locomotion - Research demonstration - 2023-09-14 - The work gives Cassie a benchmark for rough-terrain footstep planning with small feet and limited ankle authority. - source: arxiv.org
  • Bipedal walking - Research demonstration - 2023-09-14 - The paper introduces a mixed-integer model-predictive footstep controller for bipedal walking over constrained footholds. - source: arxiv.org
  • Obstacle-course traversal - Research demonstration - 2019-07-26 - Experiments include flat terrain, slopes, stairs, rough outdoor terrain, and autonomous obstacle-course navigation using visual SLAM and planning. - source: arxiv.org
  • SLAM mapping - Research demonstration - 2019-07-26 - Experiments include flat terrain, slopes, stairs, rough outdoor terrain, and autonomous obstacle-course navigation using visual SLAM and planning. - source: arxiv.org
  • Multi-vehicle coordination - Research demonstration - 2024-06-25 - It adds a distinctive Cassie research result around multi-robot coordination and legged payload transport over terrain. - source: arxiv.org
  • Warehouse automation - Demonstrated - 2022-09-27 - US robotics company focused on humanoid systems for logistics and warehouse automation. - source: spectrum.ieee.org
  • Load carrying - Research demonstration - 2024-06-25 - The paper trains a decentralized controller for payload transport using multiple rigidly attached biped robots. - source: arxiv.org

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