본문 바로가기
KERD
논문KCI 등재

모바일 조작 작업을 위한 역접근성 기반의 효율적인 베이스 재배치 방법

Efficient Base Repositioning for Mobile Manipulation based on Inverse Reachability

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

This paper proposes a new method to generate inverse reachability maps that are more efficient for mobile manipulators than the previous algorithms. The base positioning is important to perform the given tasks. Using the inverse reachability method, we can know where to place the robot's base for given tasks. For example, the robot successfully performed the task with relocation, even when the target is initially in a low manipulability area or outside the workspace. However, there are some inefficiencies in the online process of the classical inverse reachability method. We describe what inefficiencies appear in the online phase and how to change the offline process to make the online efficient. Moreover, we demonstrate that the proposed approach achieves better performance than usual inverse reachability approaches for mobile manipulation. Finally, we discuss the limitations and advantages of the proposed method.

Abstract

This paper proposes a new method to generate inverse reachability maps that are more efficient for mobile manipulators than the previous algorithms. The base positioning is important to perform the given tasks. Using the inverse reachability method, we can know where to place the robot's base for given tasks. For example, the robot successfully performed the task with relocation, even when the target is initially in a low manipulability area or outside the workspace. However, there are some inefficiencies in the online process of the classical inverse reachability method. We describe what inefficiencies appear in the online phase and how to change the offline process to make the online efficient. Moreover, we demonstrate that the proposed approach achieves better performance than usual inverse reachability approaches for mobile manipulation. Finally, we discuss the limitations and advantages of the proposed method.

참고문헌 (12)

  1. N. Vahrenkamp, "Manipulability Analysis", 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), pp.568~573 (2012)
  2. A. Makhal, "Reuleaux : Robot Base Placement by Reachability Analysis", 2018 Second IEEE International Conference on Robotic Computing (IRC), pp.137~142 (2018)
  3. M. Forstenhausler, "Optimized Mobile Robot Positioning for better Utilization of the Workspace of an attached Manipulator", 2020 IEEE, 2020, 2074~2079
  4. F. Paus, "A combined approach for robot placement and coverage path planning for mobile manipulation", 2017 IEEE, 2017, 6285~6292
  5. F. Burget, "Stance selection for humanoid grasping tasks by inverse reachability maps", 2015 IEEE International Conference on Robotics and Automation (ICRA), pp.5669~5674 (2015)
  6. N. Vahrenkamp, "Robot Placement based on Reachability Inversion", 2013 IEEE International Conference on Robotics and Automation (ICRA), pp.1970~1975 (2013)
  7. Knowledge Based Manipulation for Service Robots, "D. -M. Choi", Korean Society for Precision Engineering, 716~717 (2017)
  8. Caelan Reed Garrett, "FFRob: Leveraging symbolic planning for efficient task and motion planning", The International Journal of Robotics Research, 37(1), pp.104~136 (2018), SAGE Publications[DOI]
  9. F. Burget, "Stance selection for humanoid grasping tasks by inverse reachability maps", 2015 IEEE International Conference on Robotics and Automation(ICRA), pp.5669~5674 (2015)
  10. Maria Vittoria Minniti, "Whole-Body MPC for a Dynamically Stable Mobile Manipulator", IEEE Robotics and Automation Letters, 4(4), pp.3687~3694 (2019), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  11. "Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation" (2021)[URL]
  12. Daniel Honerkamp, "Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning", IEEE Robotics and Automation Letters, 6(4), pp.6289~6296 (2021), Institute of Electrical and Electronics Engineers (IEEE)[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (6건)