Safety-critical Autonomous Inspection of Distillation Columns using Quadrupedal Robots Equipped with Roller Arms
This paper proposes a comprehensive framework designed for the autonomous inspection of complex environments, with a specific focus on multi-tiered settings such as distillation column trays. Leveraging quadruped robots equipped with roller arms, and through the use of onboard perception, we integrate essential motion components including: locomotion, safe and dynamic transitions between trays, and intermediate motions that bridge a variety of motion primitives. Given the slippery and confined nature of column trays, it is critical to ensure safety of the robot during inspection, therefore we employ a safety filter and footstep re-planning based upon control barrier function representations of the environment. Our framework integrates all system components into a state machine encoding the developed safety-critical planning and control elements to guarantee safety-critical autonomy, enabling autonomous and safe navigation and inspection of distillation columns. Experimental validation in an environment, consisting of industrial-grade chemical distillation trays, highlights the effectiveness of our multi-layered architecture.
Authors
- Jeeseop Kim (ORCID: https://orcid.org/0000-0003-4028-2359)
- Aaron D. Ames (ORCID: https://orcid.org/0000-0003-0848-3177)
- Jaemin Lee (ORCID: https://orcid.org/0000-0002-7768-7061)
Institutions
- California Institute of Technology (US)
- North Carolina State University (US)
Publication Details
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1109/iros58592.2024.10802679
- Citations
- 1
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.21