Learning to Guide: Guidance Law Based on Deep Meta-Learning and Model Predictive Path Integral Control. - Chen Liang; Weihong Wang; Zhenghua Liu; Chao Lai; Benchun Zhou (IEEE Access, 2019)

Object Detection and Mapping with Bounding Box Constraints. - Benchun Zhou; Aibo Wang; Jan-Felix Klein; Kai Furmans (MFI, 2021)

Ellipsoid SLAM with Novel Object Initialization. - Yongqi Meng; Benchun Zhou (CASE, 2022)

Object-based Loop Closure with Directional Histogram Descriptor. - Benchun Zhou; Yongqi Meng; Kai Furmans (CASE, 2022)

Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics. - Alexander Naumann; Felix Hertlein; Benchun Zhou; Laura Dörr; Kai Furmans (ICMLA, 2022)

Structure SLAM with points, planes and objects. - Benchun Zhou; Maximilian Gilles; Yongqi Meng (Adv. Robotics, 2022)

Semantic Mapping and Autonomous Navigation for Agile Production System. - Benchun Zhou; Jan-Felix Klein; Bo Wang; Markus Hillemann (CASE, 2023)

Localization and classification of partial occluded deformable objects with application on the downs and feathers. - Yan Wang 015; Shuai Tan; Deepak Kumar; Benchun Zhou (SDF-MFI, 2023)

Visual Localization and Mapping with Objects in Logistics Environments. - Benchun Zhou (2024)