K-user nonbinary parallel concatenated code for Gaussian multiple-access channel. - Haifeng Han; Guanghui Song; Masakazu Yoshida; Jun Cheng 001 (ICC, 2014)

Model-based reinforcement learning approach for deformable linear object manipulation. - Haifeng Han; Gavin Paul; Takamitsu Matsubara (CASE, 2017)

Probabilistic Pose Estimation of Deformable Linear Objects. - Yujun Lai; James Poon; Gavin Paul; Haifeng Han; Takamitsu Matsubara (CASE, 2018)

Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking. - Ping Jiang 006; Junji Oaki; Yoshiyuki Ishihara; Junichiro Ooga; Haifeng Han; Atsushi Sugahara; Seiji Tokura; Haruna Eto; Kazuma Komoda; Akihito Ogawa (Frontiers Neurorobotics, 2022)

Hybrid-AI Grasp Planning System that Integrates Rule-Based and DNN-Based Methods for Throughput Improvement of Picking Robots. - Kazuma Komoda; Ping Jiang 006; Haifeng Han; Junichiro Ooga; Haruna Eto; Seiji Tokura; H. Chatani; K. Sawa; Y. Oka; K. Konda; Akihito Ogawa (AIM, 2024)

MultipleCupSuctionNet: Deep Neural Network for Detecting Grasp Pose of a Vacuum Gripper with Multiple Suction Cups based on YOLO Feature Map Affine Transformation. - Ping Jiang 006; Kazuma Komoda; Haifeng Han; Ooga Junichiro (IROS, 2024)