研究上主要围绕机器人智能感知、SLAM、机器人自主规划与控制技术开展研究，尤其关注农业智能机器人装备体系的构建，与莫纳什大学、清华大学、浙江大学、华中农业大学、以及武汉理工大学等长期保持密切合作，并担任ICRA、Computers and Electronics in Agriculture、IEEE Robotics and Automation Letters 等国际主流期刊与会议审稿人。
文章成果：
[1] Kang Hanwen, and Chen Chao. Fruit detection, segmentation and 3D visualisation of environments in apple orchards. Computers and Electronics in Agriculture 171 (2020): 105302.
[2] Kang Hanwen, Yaohua Zang, Xing Wang, Yaohui Chen, “Uncertainty-driven Spiral Trajectory for Robotic Peg-in-Hole Assembly”. IEEE Robotics and Automation Letters, 2022.
[3] Kang Hanwen, and Chen Chao. Fast implementation of real-time fruit detection in apple orchards using deep learning. Computers and Electronics in Agriculture 168 (2020): 105108.
[4] Kang Hanwen, Wang Xing, and Chen Chao. Geometry-aware fruit grasping estimation for robotic harvesting in apple orchards. Computers and Electronics in Agriculture 193 (2022): 106716.
[5] Kang Hanwen, Wang Xing, and Chen Chao.Accurate Fruit Localisation for Robotic Harvesting using High Resolution LiDAR-Camera Fusion Computers and Electronics in Agriculture 203 (2022): 107450.
[6] Gao Shumin, Kang Hanwen,An Xiaosong, Cheng Yunjiang,Chen Yaohui, and Li Shanjun, “Non-destructive storage time prediction of citrus fruit based on oil gland characteristics.” Frontiers in Plant Science.
[7] Yaohui Chen, An Xiaosong, Gao Shumin, Li Shanjun, and Kang Hanwen, A deep learning-based vision system combining detection and tracking for fast on-line citrus sorting. Frontiers in Plant Science 12 (2021): 171.
[8] Hongyu Zhou, Xing Wang, Wesley Au, Kang Hanwen, Chao Chen. Intelligent robots for fruit harvesting: Recent developments and future challenges[J]. Precision Agriculture, 2022: 1-52.
[9] Zou Hanbang, Kang Hanwen, Anja C Slim, and Adrian Neild. Pore-scale multiple-contact miscibility measurements in a microfluidic chip. Lab on a Chip20, no. 19 (2020): 3582-3590.
[10] Wang Xing, Zhou Hugh, Kang Hanwen, and Chen Chao. Bio-inspired soft bistable actuator with dual actuations. Smart Materials and Structures 30.12 (2021): 125001.
[11] Li Shanjun, Lin Jiahao, Kang Hanwen, and Chen Yaohui. Bio-inspired origamic pouch motors with a high contraction ratio and enhanced force output. Robotics and Autonomous Systems 149 (2022): 103983.
