Author:
Fan Siwen,Li Wanli,Yin Ruihao
Abstract
AbstractAiming at the problem of harsh concrete construction environment and low level automation of concrete pouring operation, this paper proposes an autonomous concrete pouring planning method based on real-time obstacle avoidance algorithm. A new 3-DoF articulated concrete pouring robot is designed and kinematically modeled. Rectangular fitting is adopted to simplify irregular obstacles. Then generate obstacle maps and apply intelligent obstacle avoidance algorithms based on the maps, which adopt the reward mechanism in reinforcement learning. The effectiveness of the proposed method in autonomous obstacle avoidance path planning for pouring robots is demonstrated through simulation and prototype experiments.
Publisher
Springer Nature Singapore
Reference15 articles.
1. Liu R, Gao Y, Yang S (2015) Vibration control of the boom system of truck-mounted concrete pump based on constant-position commandless input shaping technique. Shock Vib 2015:1–9
2. Kraemer M, Roesmann C, John FI (2018) Time-optimal unfolding of a mobile truck-mounted concrete pump under constraints. Forsch Ingenieurwes 82(1):45–57
3. Xin XZ, Nan NR, Shu JG (2011) Boom system kinematic simulation of truck-mounted concrete pump. Adv Mater Res 2012(03):185–188
4. Zhou S, Zhang S (2007) Co-simulation on automatic pouring of truck-mounted concrete boom pump. In: Proceedings of the IEEE international conference on automation and logistics, Jinan, pp 928–932
5. Wu R, Li Z, Bi Y (2017) Truck mounted concrete pump boom multi-body flexible analysis and experiment validation. J Robot 6(14):1–10