Skip to main content

Advertisement

SpringerLink
Log in

Motion path planning of soccer training auxiliary robot based on genetic algorithm in fixed-point rotation environment

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

Soccer training assisted robot system is a combination of robotics and artificial intelligence. Motion path planning is an important part of soccer training assisted robot decision system. Path planning aims to find an optimal path, complete dynamic and static obstacle avoidance, and thus can timely and quickly carry out the path planning of the soccer training assisted robot cooperation strategy. Aiming at the problem of soccer training auxiliary robot motion path planning, this paper proposes a global path planning method based on genetic algorithm, which avoids the problem of unsmooth path and large computation. Under the premise of ensuring the completeness of search, this method transforms the soccer training assisted robot path planning problem into the path search problem of the soccer training assisted robot system center. Under the premise of using the fixed-point rotation method on a large scale, the genetic algorithm is adopted for the case of some special narrow-channel environments, and the action area is determined by simple search. Finally, the planning path of each soccer training-assisted robot in the system is obtained. Finally, the simulation results verify the effectiveness of the algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Akbari A, Rosell J (2018) Knowledge-oriented task and motion planning for multiple mobile robots. J Exp Theor Artif Intell 31(1):1–26

    Google Scholar 

  • Bai Y, Svinin M, Yamamoto M (2018) Dynamics-based motion planning for a pendulum-actuated spherical rolling robot. Regul Chaotic Dyn 23(4):372–388

    Article  MathSciNet  MATH  Google Scholar 

  • Belbachir E, Golkar E, Bayle B et al (2018) Automatic planning of needle placement for robot-assisted percutaneous procedures. Int J Comput Assist Radiol Surg 13(11):1–10

    Google Scholar 

  • Chance G, Jevtić A, Caleb-Solly P et al (2018) “Elbows Out”—predictive tracking of partially occluded pose for robot-assisted dressing. IEEE Robot Autom Lett 3(4):3598–3605

    Article  Google Scholar 

  • Chang SS (2018) Re: Impact of suboptimal neoadjuvant chemotherapy on peri-operative outcomes and survival after robot-assisted radical cystectomy: a multicentre multinational study. J Urol 199(6):1395

    Article  Google Scholar 

  • Chen M, Liu Q (2016) Blow-up criteria of smooth solutions to a 3d model of electro-kinetic fluids in a bounded domain. Electron J Differ Equ 2016(128):1–8

    MathSciNet  Google Scholar 

  • Chen MC, Lu SQ, Liu QL (2018) Global regularity for a 2d model of electro-kinetic fluid in a bounded domain. Acta Mathematicae Applicatae Sinica, English Series 34(2):398–403

    Article  MathSciNet  MATH  Google Scholar 

  • Drake D, Koziol S, Chabot E (2018) Mobile robot path planning with a moving goal. IEEE Access 6(99):12800–12814

    Article  Google Scholar 

  • Erickson Z, Collier M, Kapusta A et al (2018) Tracking human pose during robot-assisted dressing using single-axis capacitive proximity sensing. IEEE Robot Autom Lett 3(3):2245–2252

    Article  Google Scholar 

  • Güler F, Kasap E (2018) A path planning method for robot end effector motion using the curvature theory of the ruled surfaces. Int J Geom Methods Mod Phys 15(03):15

    Article  MathSciNet  MATH  Google Scholar 

  • Huang Y, Lai WP, Qian Q et al (2018) Translation of robot-assisted rehabilitation to clinical service: a comparison of the rehabilitation effectiveness of EMG-driven robot hand assisted upper limb training in practical clinical service and in clinical trial with laboratory configuration for c. Biomed Eng Online 17(1):91

    Article  Google Scholar 

  • Kim SB, Lee KW, Lee JH et al (2018) Effect of caregiver driven robot-assisted in-ward training in subacute stroke patients: a case series. Ann Rehabil Med 42(2):195–203

    Article  Google Scholar 

  • Kolontarev K, Kasyan G, Pushkar D (2018) Robot-assisted laparoscopic ureteral reconstruction: α systematic review of literature. Cent Eur J Urol 71(2):221–227

    Google Scholar 

  • Lobo N, Thurairaja R, Nair R et al (2018) Robot-assisted radical cystectomy with intracorporeal urinary diversion—the new ‘gold standard’? Evidence from a systematic review. Arab J Urol 16(3):307–313

    Article  Google Scholar 

  • Lu SQ, Miaochao Chen MC, Qilin Liu QL (2018) On regularity for an Ericksen–Leslie's parabolic–hyperbolic liquid crystals model. ZAMM-Zeitschrift fur Angewandte Mathematik und Mechanik 98(9):1574–1584

    Article  MathSciNet  MATH  Google Scholar 

  • Madhevan B, Sreekumar M (2018) Identification of probabilistic approaches and map-based navigation in motion planning for mobile robots. Sādhanā 43(1):8

    Article  MathSciNet  MATH  Google Scholar 

  • Marcus HJ, Vakharia VN, Ourselin S et al (2018) Robot-assisted stereotactic brain biopsy: systematic review and bibliometric analysis. Childs Nerv Syst Chns 34(7):1–11

    Google Scholar 

  • Matsuda M, Iwasaki N, Mataki Y et al (2018) Robot-assisted training using Hybrid Assistive Limb® for cerebral palsy. Brain Develop 40(8):642–648

    Article  Google Scholar 

  • Schiavina R, Borghesi M, Dababneh H et al (2018) The impact of a structured intensive modular training in the learning curve of robot assisted radical prostatectomy. Archivio Italiano di Urologia e Andrologia 90(1):1

    Article  Google Scholar 

  • Wang Y, Humphrey LR, Liao Z et al (2018) Trust-based multi-robot symbolic motion planning with a human-in-the-loop. ACM Trans Interact Intell Syst 8(4):1–33

    Article  Google Scholar 

  • Xia Y, Wang GX, Fu B et al (2018) Evaluation of the clinical use of robot-assisted retroperitoneal laparoscopy and preoperative RENAL scoring for nephron sparing surgery in renal tumor patients. Indian J Surg 80(3):252

    Article  Google Scholar 

  • Yeung LF, Ockenfeld C, Pang MK et al (2018) Randomized controlled trial of robot-assisted gait training with dorsiflexion assistance on chronic stroke patients wearing ankle-foot-orthosis. J Neuroeng Rehabil 15(1):51

    Article  Google Scholar 

  • Ying H, Fei M (2018) Motion planning of robot manipulator based on improved NSGA-II. Int J Control Autom Syst 16(3):1878–1886

    Google Scholar 

  • Zhong F, Liu Y (2018) Image-based 3D pose reconstruction of surgical needle for robot-assisted laparoscopic suturing. Chin J Electron 27(3):476–482

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Henan University of Science and Technology, Luoyang, 471000, China

    Hui Ding

Authors
  1. Hui Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hui Ding.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ding, H. Motion path planning of soccer training auxiliary robot based on genetic algorithm in fixed-point rotation environment. J Ambient Intell Human Comput 11, 6261–6270 (2020). https://doi.org/10.1007/s12652-020-01877-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-020-01877-4

Keywords

Search

Navigation