Author:
Risnumawan Anhar,Anwar Miftahul,Febrianto Rokhmat,Priambodo Cipta,Basthomi Mochamad Ayuf,Wasono Puguh Budi,Hermawan Hendhi,Herawan Tutut
Reference14 articles.
1. Allgeuer P, Schwarz M, Pastrana J, Schueller S, Missura M, Behnke S (2018) A ROS-based software framework for the NimbRo-OP humanoid open platform. arXiv preprint arXiv:1809.11051
2. N’Guyen S, Passault G, Pirrone A, Rouxel Q (2018) Rhoban football club: robocup humanoid kid-size 2017 champion team paper. In: RoboCup 2017: robot world cup XXI, vol 11175, p 423
3. Qian Y, Lee DD (2016) Adaptive field detection and localization in robot soccer. In: Robot world cup, pp 218–229
4. Almeida AC, Costa AH, Bianchi RA (2017) Vision-based monte-carlo localization for humanoid soccer robots. In: 2017 Latin American robotics symposium (LARS) and 2017 Brazilian symposium on robotics (SBR), pp 1–6
5. Muzio A, Aguiar L, Máximo MR, Pinto SC (2016) Monte carlo localization with field lines observations for simulated humanoid robotic soccer. In: 2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium (LARS/SBR), pp 334–339
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