IJABE Call for Papers | Agricultural Robots, Intelligent Equipment, and Cluster Cooperative Control Systems
IJABE Call for Papers | Agricultural Robots, Intelligent Equipment, and Cluster Cooperative Control Systems
2026 IJABE Special Collection on Agricultural Robots, Intelligent Equipment, and Cluster Cooperative Control Systems
Guest Editor: Dr. Jizhan Liu, Professor and Chief Expert of the National Digital Agriculture Equipment (AI & Agribot) Innovation Sub-Center, Jiangsu University
Guest Associate Editors: Dr. Liang Gong, Professor of the School of Mechanical Engineering, Shanghai Jiaotong University
Dr. Maohua Xiao, Professor of the College of Engineering, Nanjing Agricultural University
Dr. Jing Jin, Professor and Deputy Dean of the International Research Institute for Artificial Intelligence, Harbin Institute of Technology
Dr. Jian Chen, Professor of the College of Engineering, and Chief Expert of Embodied Intelligent Robots, China Agricultural University
Dr. Xianfei Xia, Researcher and Chief Expert of the Agricultural Robot Group, Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs of the People’s Republic of China
Farmlands are mostly unstructured, complex scenarios characterized by undulating terrain, large inter‑individual differences, dynamic variations in crop growth, variable lighting conditions, and strong dynamic disturbances under operational conditions. Conventional agricultural equipment features simplistic operating principles, fixed structures, limited adaptability of control strategies, and insufficient collaborative capacity. It can hardly satisfy operational requirements for diverse crops and isolated agricultural scenarios, nor meet the demands of modern agriculture for large‑scale, precise, unmanned and collaborative operations.
With the in‑depth integration of artificial intelligence, robotics and smart agriculture, intelligent and robotic operating equipment has become a core driver for the development of modern agriculture. Intelligent fleet scheduling and cluster collaborative control technologies represent a key direction for intensive and efficient production operations. By integrating technologies including perception and understanding of unstructured environments and targets, complex mission planning, fused planning of dynamic tasks‑paths‑trajectories, adaptive control of eye‑hand‑foot postures, as well as task allocation and collaborative scheduling of air‑ground multi‑robot systems, it is feasible to effectively improve the autonomy, robustness, operational quality and efficiency of robotic operations. These technologies provide critical technical support for the implementation of smart grain‑oil production and smart horticulture, and bear important theoretical and engineering values for promoting the transformation and upgrading of agricultural equipment, cost reduction & efficiency improvement, and green low‑carbon development. Therefore, IJABE launches the Special Collection on Agricultural Robots, Intelligent Equipment, and Cluster Cooperative Control Systems. IJABE sincerely invites experts and scholars in related fields to submit manuscripts and build a high-level academic exchange platform. All accepted papers will be published sequentially in 2027.
Submit your manuscript at https://www.ijabe.org, and you can also get the Guidelines for Authors there.
Types of articles: Review, Research Articles, Editorial, Perspectives.
Submission deadline: January 31, 2027
Topics include, but are not limited to
- Innovative design and control optimization of complete agricultural robots and their core components;
- Domestic operating systems for agricultural robots and end‑side integration of intelligence, computing and control;
- Vision systems of agricultural robots and perception‑understanding technologies for complex agricultural scenarios;
- Hybrid collaborative architecture for heterogeneous agricultural machinery clusters and decentralized self‑organized control technology;
- Multi‑component mission planning and multi‑robot task allocation for agricultural robots;
- Profile‑following attitude control and dynamic path planning of agricultural robots for hilly and sloping lands;
- Autonomous fault‑tolerant self‑rescue and perpetual unsupervised operation technology for agricultural robots;
- Cross‑domain collaborative operation and integrated scheduling technology for air‑ground agricultural machinery clusters;
- System integration, simulation verification and practical scenario application of multi‑robot collaborative operation systems
Word count
There is no strict word limit. You may organize the content and length according to your writing plan.
Contact information:
Contact Editor: Shiqiang Xin, Dan Meng
Email: ijabe@ijabe.cn
Tel: +86-10-59197091
