4.6 Article

Dynamically Feasible Task Space Planning for Underactuated Aerial Manipulators

期刊

IEEE ROBOTICS AND AUTOMATION LETTERS
卷 6, 期 2, 页码 3232-3239

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LRA.2021.3051572

关键词

Aerial systems; mechanics and control; underactuated robots; aerial manipulation; differential flatness; motion and path planning

类别

资金

  1. ARL [DCIST CRA W911NF-17-2-0181]
  2. NSF [CNS-1521617]
  3. ARO [W911NF-13-1-0350]
  4. ONR [N00014-20-1-2822, N00014-20-S-B001]
  5. Qualcomm Research
  6. C-BRIC, a Semiconductor Research Corporation Joint University Microelectronics Program program
  7. DARPA
  8. NSF Graduate Research Fellowship Program

向作者/读者索取更多资源

This research addresses the problem of planning dynamically feasible trajectories for underactuated aerial manipulators and develops a method to determine a family of flat output trajectories to precisely produce any desired task trajectory. Criteria on the manipulator geometry to ensure certain stability properties are also provided. The approach is demonstrated in simulation for systems of varying geometry and number of joints, allowing tasks to be performed dynamically without sacrificing accuracy.
In this work, we address the problem of planning dynamically feasible trajectories for underactuated aerial manipulators to achieve a desired trajectory for the end effector. We consider a quadrotor equipped with an arbitrary n-joint articulated arm. We show that the combined underactuated system is differentially flat, however the flat outputs do not correspond directly to the motion of the end effector. We therefore develop a method which determines the family of flat output trajectories which will exactly produce any desired task trajectory, even in the case of dynamic maneuvers. We also give criteria on the manipulator geometry which will ensure certain important stability properties, informing hardware design. The entire approach is demonstrated in simulation for systems of varying geometry and number of joints. The simultaneous resolution of the kinematic and dynamic constraints allows these tasks to be performed dynamically without sacrificing accuracy.

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