Abstract
This paper presents LQG-Obstacles, a new concept that combines linear-quadratic feedback control of mobile robots with guaranteed avoidance of collisions with obstacles. Our approach generalizes the concept of Velocity Obstacles [3] to any robotic system with a linear Gaussian dynamics model. We integrate a Kalman filter for state estimation and an LQR feedback controller into a closed-loop dynamics model of which a higher-level control objective is the "control input". We then define the LQG-Obstacle as the set of control objectives that result in a collision with high probability. Selecting a control objective outside the LQG-Obstacle then produces collision-free motion. We demonstrate the potential of LQG-Obstacles by safely and smoothly navigating a simulated quadrotor helicopter with complex non-linear dynamics and motion and sensing uncertainty through three-dimensional environments with obstacles and narrow passages.
| Original language | English (US) |
|---|---|
| Title of host publication | 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 346-353 |
| Number of pages | 8 |
| ISBN (Print) | 9781467314039 |
| DOIs | |
| State | Published - Jan 1 2012 |
| Event | 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 - Saint Paul, MN, United States Duration: May 14 2012 → May 18 2012 |
Publication series
| Name | Proceedings - IEEE International Conference on Robotics and Automation |
|---|---|
| ISSN (Print) | 1050-4729 |
Other
| Other | 2012 IEEE International Conference on Robotics and Automation, ICRA 2012 |
|---|---|
| Country/Territory | United States |
| City | Saint Paul, MN |
| Period | 5/14/12 → 5/18/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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