"Yang, Wenyan" - Selaus tekijän mukaan TUNICRIS-julkaisut

    • Learning a Pile Loading Controller from Demonstrations 

      Yang, Wenyan; Strokina, Nataliya; Serbenyuk, Nikolay; Ghabcheloo, Reza; Kämäräinen, Joni
      Proceedings - IEEE International Conference on Robotics and Automation (2020)
      conference
      <p>This work introduces a learning-based pile loading controller for autonomous robotic wheel loaders. Controller parameters are learnt from a small number of demonstrations for which low level sensor (boom angle, bucket ...
    • Neural Network Controller for Autonomous Pile Loading Revised 

      Yang, Wenyan; Strokina, Nataliya; Serbenyuk, Nikolay; Pajarinen, Joni; Ghabcheloo, Reza; Vihonen, Juho; Aref, Mohammad M.; Kämäräinen, Joni-Kristian
      IEEE International Conference on Robotics and Automation (2021)
      conference
      We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2]. In the field experiments the RF controller obtained clearly ...
    • Prioritized offline Goal-swapping Experience Replay 

      Yang, Wenyan; Pajarinen, Joni; Cai, Dingding; Kämäräinen, Joni (2023)
      conference
    • Probabilistic Subgoal Representations for Hierarchical Reinforcement learning 

      Wang, Vivienne Huiling; Yang, Wenyan; Kämäräinen, Joni Kristian; Pajarinen, Joni
      Proceedings of Machine Learning Research (2024)
      conference
      <p>In goal-conditioned hierarchical reinforcement learning (HRL), a high-level policy specifies a subgoal for the low-level policy to reach. Effective HRL hinges on a suitable subgoal representation function, abstracting ...
    • Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation 

      Yang, Wenyan; Angleraud, Alexandre; Pieters, Roel S.; Pajarinen, Joni; Kämäräinen, Joni-Kristian (2023)
      conference
      <p>Robot control for tactile feedback based manip-ulation can be difficult due to modeling of physical contacts, partial observability of the environment, and noise in perception and control. This work focuses on solving ...
    • The Tenth Visual Object Tracking VOT2022 Challenge Results 

      Kristan, Matej; Leonardis, Aleš; Matas, Jiří; Felsberg, Michael; Pflugfelder, Roman; Kämäräinen, Joni; Jin Chang, Hyung; Danelljan, Martin; Čehovin Zajc, Luka; Lukežič, Alan; Drbohlav, Ondrej; Björklund, Johanna; Zhang, Yushan; Zhang, Zhongqun; Yan, Song; Yang, Wenyan; Cai, Dingding; Mayer, Christoph; Fernández, Gustavo; Ben, Kang; Bhat, Goutam; Chang, Hong; Chen, Jiaye; Chen, Shengyong; Chen, Xilin; Chen, Xin; Yu-Hsi, Yu-Hsi; Cheng, Yangming; Cui, Yutao; Džubur, Benjamin; Di, Shangzhe; Di Nardo, Emanuel; Dunnhofer, Matteo; Fan, Heng; Feng, Zhenhua; Gu, Q. H.; Gupta, Himanshu; He, Jianfeng; Jangid, Deepak; Ji, Rongrong; Jiang, Cheng; Jiang, Yingjie; Lawin, Felix Järemo; Kang, Ze; Kittler, Josef; Lai, Simiao; Li, Hui; Li, Ming; Li, Wangkai; Li, Xi; Lin, Liting; Liu, Chang; Lu, Huchuan; Ma, Bingpeng; Ma, Yinchao; Martinel, Niki; Micheloni, Christian; Paul, Matthieu; Peng, Houwen; Robinson, Andreas; Shan, Shiguang; Simonato, Kristian; Song, Tianhui; Song, Xiaoning; Sun, Chao; Tang, Zhangyong; Timofte, Radu; Van Gool, Luc; Verma, Om Prakash; Wang, Dong; Wang, Fei; Wang, Lijun; Wang, Limin; Wu, Gangshan; Wu, Xiaojun; Xie, Fei; Xu, Tianyang; Xu, Yong; Xu, Yuanyou; Xue, Wanli; Xun, Zizheng; Yan, Bin; Yang, Dawei; Yang, Wankou; Yang, Yi; Yang, Yichun; Yang, Zongxin; Ye, Botao; Yu, Fisher; Yu, Qianjin; Zhai, Jiang; Zhang, Chengwei; Zhang, Kaihua; Zhang, Tianzhu; Zhang, Wenkang; Zhang, Zhibin; Zhao, Jie; Zhao, Shaochuan; Zhu, Jiawen; Zhu, Xuefeng; Zhuang, Yueting (2022)
      conference
    • Visual Rewards From Observation for Sequential Tasks: Autonomous Pile Loading 

      Strokina, Nataliya; Yang, Wenyan; Pajarinen, Joni; Serbenyuk, Nikolay; Kämäräinen, Joni; Ghabcheloo, Reza (31.05.2022)
      article
      <p>One of the key challenges in implementing reinforcement learning methods for real-world robotic applications is the design of a suitable reward function. In field robotics, the absence of abundant datasets, limited ...