Cassie product profile
Cassie is Agility Robotics' bipedal robot platform for locomotion research and early real-world deployment testing. Derived from ATRIAS research, it served as a precursor to Digit with improved walking stability and outdoor mobility.
Facts
- Company: Agility Robotics
- Product type: Research Platform
- Status: research
- Website: https://agilityrobotics.com/about
Profile sections
- Summary
- Overview
- Market context
- Audience
- Workflow
- Capability
- Deployment environment
- Positioning tags
- Specifications
- Timeline / Research
- Sources
Summary
Cassie is Agility Robotics' bipedal robot platform for locomotion research and early real-world deployment testing. Derived from ATRIAS research, it served as a precursor to Digit with improved walking stability and outdoor mobility.
Overview
Cassie is Agility Robotics' bipedal robot platform for locomotion research and early real-world deployment testing. Derived from ATRIAS research, it served as a precursor to Digit with improved walking stability and outdoor mobility.
Market context
Cassie is Agility Robotics' first commercial bipedal robot platform, derived from ATRIAS research and used for R&D before Digit.
- Target environment: Academic labs, industrial R&D sites, locomotion research programs and robot-learning environments.
- Workflow context: Bipedal locomotion research, controller development, robot learning, mobility validation and platform experimentation.
- Customer context: 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.
- Commercial maturity: Established research and development platform.
- Adoption constraints: Adoption depends on research goals, support, simulation tools and platform availability.
- Market position: Bridge product between university bipedal locomotion research and deployable Agility Robotics systems.
- Adjacent products: ATRIAS, Digit, Unitree H1, Boston Dynamics Atlas
Workflow
Bipedal locomotion research, controller development, robot learning, mobility validation and platform experimentation.
Capability
Research Platform
Deployment environment
Academic labs, industrial R&D sites, locomotion research programs and robot-learning environments.
Positioning tags
- Audience: Researchers
- Workflow: Bipedal locomotion research, controller development, robot learning, mobility validation and platform experimentation.
- Capability: Research Platform
- Deployment environment: Academic labs, industrial R&D sites, locomotion research programs and robot-learning environments.
Specifications
- Height: ~1.0 m (legged height, no torso) m
- Weight: ~31 kg kg
- Payload: ~0 kg (locomotion platform) kg
- Speed: up to ~1.5–2.0 m/s
- Runtime: ~1–2 hours (battery dependent)
- Actuation: Electrically actuated legs with compliant elements
- Degrees Of Freedom: 10 (5 per leg)
- Operating Environment: outdoor_unstructured; indoor_structured
- Mobility Class: biped
- Commercial Status: pilot
- Stabilization: Dynamic balancing (no static stability requirement)
Timeline / Research
- 2024-06-25 - Research Publication - Multi-biped payload-transport paper demonstrates coordinated Cassie teams - The paper trains a decentralized controller for payload transport using multiple rigidly attached biped rob…
- 2024-01-30 - Research Publication - IJRR study demonstrates broad dynamic locomotion skills on Cassie - The IJRR study presents a reinforcement-learning controller for standing, walking, running, jumping, and other dyna…
- 2023-09-14 - Research Publication - Cassie constrained-foothold paper demonstrates MPC footstep control - The paper introduces a mixed-integer model-predictive footstep controller for bipedal walking over constrained fo…
- 2023-02-19 - Research Publication - RSS jumping-control paper transfers versatile dynamic jumps to Cassie hardware - The RSS paper trains a reinforcement-learning controller for robust bipedal jumping across different d…
- 2022-09-27 - Demonstration - Agility Robotics sets world record with Cassie's learned policy - Achieved a world record for the fastest 100 m by a bipedal robot at 24.73 seconds.
- 2021-09-30 - Research Publication - Cassie ALIP-MPC paper demonstrates terrain-adaptive bipedal locomotion - The paper combines an Angular Momentum Linear Inverted Pendulum model with MPC foot placement and virtual cons…
- 2021-07-25 - Demonstration - Cassie the bipedal robot completes 5K run - • Cassie, a bipedal robot developed at Oregon State University and produced by Agility Robotics, completed a 5-kilometer run in just over 53 minut…
- 2021-03-26 - Research Publication - Parameterized locomotion RL paper transfers robust walking policies to Cassie - The paper trains robust locomotion policies in simulation using domain randomization and transfers them…
- 2020-11-02 - Research Publication - Cassie sim-to-real paper learns all common bipedal gaits - The paper proposes periodic reward composition for standing, walking, hopping, running, and skipping without requiring refer…
- 2019-07-26 - Research Publication - Cassie Hovershoes paper demonstrates multimodal bipedal riding control - The paper develops feedback control for Cassie to autonomously ride a pair of Hovershoes while balancing and r…
- 2018-09-19 - Research Publication - Cassie feedback-control paper demonstrates walking, standing, and Segway riding - The paper implements virtual-constraint and gait-library feedback control on Agility Robotics Cassie.
- 2017-09-05 - Market Signal - Agility Robotics delivers Cassie 001 to University of Michigan - • Agility Robotics delivered the first Cassie bipedal robot, serial number 001, to the University of Michigan on September 5,…
- 2017-08-31 - Market Signal - Agility Robotics completes first Cassie robot deliveries - • Agility Robotics delivered its first batch of Cassie robots to the University of Michigan, Caltech, and Harvard at the end of Aug…
Sources
- file:///C:/Users/Alex/korthoswebsite/tmp/product-batch-25/sources/agility/agility-2.avif
Cassie canonical Korthos profile