Aggressive flight of fixed-wing and quadrotor aircraft in dense indoor environments. (June 2015)
- Record Type:
- Journal Article
- Title:
- Aggressive flight of fixed-wing and quadrotor aircraft in dense indoor environments. (June 2015)
- Main Title:
- Aggressive flight of fixed-wing and quadrotor aircraft in dense indoor environments
- Authors:
- Bry, Adam
Richter, Charles
Bachrach, Abraham
Roy, Nicholas - Abstract:
- In this paper, we describe trajectory planning and state estimation algorithms for aggressive flight of micro aerial vehicles in known, obstacle-dense environments. Finding aggressive but dynamically feasible and collision-free trajectories in cluttered environments requires trajectory optimization and state estimation in the full state space of the vehicle, which is usually computationally infeasible on realistic timescales for real vehicles and sensors. We first build on previous work of van Nieuwstadt and Murray and Mellinger and Kumar, to show how a search process can be coupled with optimization in the output space of a differentially flat vehicle model to find aggressive trajectories that utilize the full maneuvering capabilities of a quadrotor. We further extend this work to vehicles with complex, Dubins-type dynamics and present a novel trajectory representation called a "Dubins–Polynomial trajectory", which allows us to optimize trajectories for fixed-wing vehicles. To provide accurate state estimation for aggressive flight, we show how the Gaussian particle filter can be extended to allow laser rangefinder localization to be combined with a Kalman filter. This formulation allows similar estimation accuracy to particle filtering in the full vehicle state but with an order of magnitude more efficiency. We conclude with experiments demonstrating the execution of quadrotor and fixed-wing trajectories in cluttered environments. We show results of aggressive flight atIn this paper, we describe trajectory planning and state estimation algorithms for aggressive flight of micro aerial vehicles in known, obstacle-dense environments. Finding aggressive but dynamically feasible and collision-free trajectories in cluttered environments requires trajectory optimization and state estimation in the full state space of the vehicle, which is usually computationally infeasible on realistic timescales for real vehicles and sensors. We first build on previous work of van Nieuwstadt and Murray and Mellinger and Kumar, to show how a search process can be coupled with optimization in the output space of a differentially flat vehicle model to find aggressive trajectories that utilize the full maneuvering capabilities of a quadrotor. We further extend this work to vehicles with complex, Dubins-type dynamics and present a novel trajectory representation called a "Dubins–Polynomial trajectory", which allows us to optimize trajectories for fixed-wing vehicles. To provide accurate state estimation for aggressive flight, we show how the Gaussian particle filter can be extended to allow laser rangefinder localization to be combined with a Kalman filter. This formulation allows similar estimation accuracy to particle filtering in the full vehicle state but with an order of magnitude more efficiency. We conclude with experiments demonstrating the execution of quadrotor and fixed-wing trajectories in cluttered environments. We show results of aggressive flight at speeds of up to 8 m/s for the quadrotor and 11 m/s for the fixed-wing aircraft. … (more)
- Is Part Of:
- International journal of robotics research. Volume 34:Number 7(2015:Jun.)
- Journal:
- International journal of robotics research
- Issue:
- Volume 34:Number 7(2015:Jun.)
- Issue Display:
- Volume 34, Issue 7 (2015)
- Year:
- 2015
- Volume:
- 34
- Issue:
- 7
- Issue Sort Value:
- 2015-0034-0007-0000
- Page Start:
- 969
- Page End:
- 1002
- Publication Date:
- 2015-06
- Subjects:
- Non-holonomic motion planning -- mobile and distributed robotics SLAM -- localization -- sensor fusion -- sensing and perception computer vision -- aerial robotics -- field and service robotics -- motion control -- mechanics -- design and control
Robots -- Periodicals
Robots, Industrial -- Periodicals
629.89205 - Journal URLs:
- http://ijr.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/0278364914558129 ↗
- Languages:
- English
- ISSNs:
- 0278-3649
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6435.xml