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A Review of Motion Planning Algorithms for Robotic Arm Systems

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RiTA 2020

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Motion planning plays a vital role in the field of robotics. This paper discusses the latest advancements in the research and development of various algorithms and approaches in motion planning in the past five years, with a strong focus on robotic arm systems. Sampling-based motion planning algorithms are prevailing and well-established methods. More effective algorithms such as optimization-based, Probabilistic Movement Primitives (ProMPs)-based and physics-based methods are feasible research directions to explore to improve the effectiveness. The evaluation benchmarking of the algorithm is a worthy research direction. The model-based methods can improve the efficiency of the task, but it has less ability to deal with accidents. In contrast, the model-freed methods can solve this problem, but it takes a long time to compute. This paper also provides an insight into robotic manipulation of rigid and non-rigid (deformable) objects. Based on the study, some challenges and future research trends are summarized, and some algorithms and approaches are suggested for efficient use of the robotic arms.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of York, York, YO10 5GH, UK

    Shuai Liu & Pengcheng Liu

Authors
  1. Shuai Liu
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  2. Pengcheng Liu
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Corresponding author

Correspondence to Pengcheng Liu .

Editor information

Editors and Affiliations

  1. Cardiff Metropolitan University, Cardiff, UK

    Esyin Chew

  2. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Anwar P. P. Abdul Majeed

  3. University of York, York, UK

    Pengcheng Liu

  4. Cardiff Metropolitan University, Cardiff, UK

    Jon Platts

  5. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Hyun Myung

  6. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Junmo Kim

  7. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Jong-Hwan Kim

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Liu, S., Liu, P. (2021). A Review of Motion Planning Algorithms for Robotic Arm Systems. In: Chew, E., et al. RiTA 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4803-8_7

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