With the world population projected to reach 9.6 billion by 2050, changes in agricultural and forest management practices using new technologies and artificial intelligence will play a key role in meeting rising food demands, biodiversity, and environmental sustainability. Recent years have seen impressive advances in the area of agricultural robotics: robots are increasingly being used in applications such as crop phenotyping, harvesting, biodiversity monitoring, weed control, fruit picking, targeted spraying of pesticides and fertilizers, and more. These exciting scenarios create new challenges for research and innovation in different robotic fields, including perception, motion planning, manipulation, learning, and decision-making, which must be tackled to improve the capabilities of autonomous systems in challenging environments. A key aspect of research problems in autonomy for agricultural robots is their interdisciplinary nature that spans both robotics and natural sciences.
This workshop focuses on recent advances in robotics and automation applied to agriculture and forestry. The objective is to bring together researchers and practitioners to share ideas and approaches enabling robotic systems in such contexts. The workshop will offer an overview of the state-of-the-art through a series of invited and contributed talks, and discussions among participants will be encouraged to exchange knowledge, brainstorm new ideas, and envision the future of this field. In particular, emphasis will be placed on fostering the link between robotic platforms and domain-specific knowledge from plant sciences for real-world applications.
Topics of interest to this workshop include, but are not necessarily limited to:
UAV-based remote sensing and crop monitoring
Machine vision and deep learning for precision agriculture
Mobile manipulation
Sensing in precision agriculture
Aerial and ground robotic platforms for agricultural applications
Long-term autonomy and navigation
Multi-robot coordination and applications
Adaptive sampling and informative planning
We're inviting researchers to submit a 1 page poster (PDF file), including a 1 minute trailer video to present at the workshop.
Submission link: https://easychair.org/conferences/?conf=ecmr2023
ETH Zurich
YANMAR R&D
University of Bonn
IIT
TU Delft
University of Coimbra
University of Zagreb