Robotics and AI have already become a cornerstone in many global industries (e.g. transportation, manufacturing and aerial), but most of the available machines and techniques were difficult to implement in the less structured agriculture environment. On the other hand, the rising plant and livestock production demands of the rapidly growing population face the challenges such as labor shortage, climate changes and high health risks in performing repetitive agricultural activities. Many researchers have proposed new approaches and applications of robots in agriculture. At the farm level, Robotics and Autonomous Systems (RAS) employed in crop and animal agriculture could increase input efficiency and agricultural output with reduced adverse impact on the environment.
More recently, Artificial intelligence (AI), big data, and Internet of Things (IoT) technologies have led farming into a new era of robotics in agriculture. The advent of agricultural robotics research has brought substantial revolutions to improve management efficiency, reduce production costs (e.g. labor force, and energy), and enhance production yields (e.g. grain, rice, meat, milk). Harvesting robots, picking robots, shearing robots, slaughter robots, etc. significantly enhance the level of agricultural mechanization and automation, which have the potential to tackle the rising food demands of the rapidly growing population. There are further opportunities to apply more advanced sensor technologies, combined with more autonomous systems, to perform tasks on the farm. This workshop will bring more opportunities for synergies in robotic research, facilitating the exchange of innovative ideas across different disciplines such as agricultural engineering and computer science.
More Information can be seen here.
We encourage researchers to submit a short paper (maximum 4 page excluding references) or a preprint of relevant work. Accepted abstracts will be posted on the workshop website and will not appear in the official IEEE proceedings. You are encouraged to use IROS's suggested paper template and upload a PDF.
The best three workshop paper will be awarded with grant
The Paper submissions will be handled with OpenReview through the following link
Modular agricultural robotic systems (MARS) for real-time in-field phenotyping
University of Florida
Personal WebsiteEnhancing Precision Livestock Management with Advanced Machine Vision and Deep Learning Techniques
NorthWest A&F University
Personal WebsiteDevelopment of agriculture robots using AI for smart agriculture in Japan
Kitami Institute of Technology
Personal WebsiteRobotic systems to support the development of resilient and sustainable speciality crops
Cornell University
Personal WebsiteAI application for weeds,disease detection and management
PMAS-Arid Agriculture University Rawalpindi
Personal WebsiteAI Based 3D Modeling and Assessment for Sustainable Agriculture and Environment
University of Georgia
Personal WebsiteChallenges for future autonomous greenhouse farming
Center for Autonomous Robotic Systems
Personal WebsiteActive Perception for Fruit mapping and Autonomous Harvesting
University of Bonn
Personal WebsiteMobile robotic platform for specialty crop cultivation
Zhejiang University
Personal WebsiteTime* | Speaker | Topic/title |
---|---|---|
14:00 - 14:05 | All Organizers | Welcome and Introduction |
Session 1:Autonomous Systems for Agricultural Operations: novel methods, dedicated robotic concepts, prototypes and applications. Co-Chairs: Qiao, Alen | ||
14:05 - 14:20 | Changying "Charlie" Li (University of Florida) | Invited talk #1 - Sensing, and Robotics for High-throughput Phenotyping |
14:20 - 14:35 | Liangliang Yang (Kitami Institute of Technology) | Invited talk #2 - Development of agriculture robots using AI for smart agriculture in Japan |
14:35 - 14:50 | Maren Bennewitz (University of Bonn) | Invited talk #3 - Active Perception for Fruit mapping and Autonomous Harvesting |
14:50 - 15:05 | Meili Wang (Northwest A&F University) | Invited talk #4 - Enhancing Precision Livestock Management with Advanced Machine Vision and Deep Learning Techniques |
15:05 - 15:20 | Guoqiang Ren (Zhejiang University) | Invited talk #5 - Mobile robotic platform for specialty crop cultivation |
15:20 - 15:35 | Session 1: Panel Discussion (Moderator: Qiao and Alen; Panellists: Invited Speakers of Session 1) | |
15:35 - 15:55 | 3-min Paper/Poster Presentations (breaks included) | |
Session 2:AI and Robotics-driven Solutions for Farm Management: current status, needs and demands for sustainable food production Co-Chairs: Alen, Wessam | ||
15:55 - 16:10 | Sven Behnke (University of Bonn) | Invited talk #6 - In-field High-resolution 3-D Plant Phenotyping |
16:10 - 16:25 | Yu Jiang (Cornell University) | Invited talk #7- Robotic systems to support the development of resilient and sustainable speciality crops |
16:25 - 16:40 | Muhammad Naveed Tahir (PMAS-Arid Agriculture University) | Invited talks #8 AI application for weeds, disease detection and management |
16:40 - 16:55 | Guoyu Lu (University of Georgia) | Invited talk #9 - AI Based 3D Modeling and Assessment for Sustainable Agriculture and Environment |
16:55 - 17:10 | Lakmal Seneviratne (Center for Autonomous Robotic Systems Mechanical) | Invited talk #10 - Challenges for future autonomous greenhouse farming |
17:10 - 17:25 | Session 2: Panel Discussion (Moderator: Allen, Wessam : Invited Speakers of Session 2) | |
17:25 - 17:30 | Final remarks and close out | |
17:30 - 19:00 | Networking and Dinner |