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Prof. Zoe Doulgeri
Prof. Zoe Doulgeri
ECE
Aristotle University of Thessaloniki
"Robotic wine grape selective harvesting in vineyards"
Dr. Zoe Doulgeri (IEEE senior member) is a Professor of Robotics and Control of Manufacturing Systems and the director of the Automation and Robotics Lab of the Department of Electrical and Computer Engineering of the Aristotle University of Thessaloniki (AUTH). She received the diploma of Electrical Engineering from AUTH and an M.Sc. (DIC) in Control Systems, an M.Sc.(DIC) in Social and Economic Aspects of Science and Technology in Industry and a Ph.D in Mechanical Engineering, from the Imperial College, London, UK. She teaches Control Systems and Robotics. She authored more than 150 publications in peer-reviewed international journals and conferences. She is an evaluator of EU research and innovation proposals and projects in Horizon-Europe and a reviewer in the most important robotics journals and conferences. She served as associate editor in the Journal of Intelligent and Robotic systems and the IEE Robotics and Automation Letters. She has coordinated and participated in many robotics projects financed by the EU and the Greek government. She has been the coordinator of the recently completed H2020 BACCHUS on mobile robotic platforms for active inspection and harvesting in agricultural areas. Her current research interests include the topics of physical human robot interaction, robot teaching and learning by demonstration, bimanual mobile robots, object grasping and manipulation with analytical and data based learning methods and the control of uncertain robotic systems.
Dr. Paul Amayo
Dr. Paul Amayo
Electrical Engineering
University of Cape Town
"Building Collaborative Robotics For African Agriculture"
Dr. Paul Amayo is a researcher and technology enthusiast with broad experience in both hardware and software development in the computer vision and robotic perception fields. He strongly believes that technology holds the key to solving some of the world's and in particular Africa's most pressing problems. His interests are therefore not only in advancement of technology through research but also in its subsequent education that ensures that this technology is adopted into communities where it would do the most good. Paul is currently a Senior Lecturer and Principal Investigator of the Spatial Intelligence Lab at the University of Cape Town, a lab whose interest is in investigating the fundamental techno-social questions that impede the adoption of robotics in the African context with a particular focus on Agricultural Robotics. He leads research into robotic scene understanding, reconstruction , representation and navigation using a combination of learned and geometric vision techniques in agricultural environments.
Dr. Alen Alempijevic
Dr. Alen Alempijevic
Robotics Institute
University of Technology Sydney
"Robotic perception as enabler of value-based trading in livestock production"
Dr. Alen Alempijevic is a research scientist specializing in robotic perception at the Robotics Institute, University of Technology Sydney. Alen has a strong background in multi-modal sensor fusion and the application of AI to estimate the underlying spatio-temporal properties of systems. He has led research in localization, tracking, and deformable object reconstruction across various industry-driven projects. His primary focus has been on enhancing perception systems to capture individual-level animal production data, thereby facilitating value-based trading in livestock, carcasses, and wool.
Prof. Guido de Croon
Prof. Guido de Croon
Micro Air Vehicle Lab (MAVLab)
TU Delft
"Tiny autonomous drones in greenhouses"
Guido de Croon received his M.Sc. and Ph.D. in the field of Artificial Intelligence (AI) at Maastricht University, the Netherlands. His research interest lies with computationally efficient, bio-inspired algorithms for robot autonomy, with an emphasis on computer vision. Since 2008 he has worked on algorithms for achieving autonomous flight with small and light-weight flying robots, such as the DelFly flapping wing MAV. In 2011-2012, he was a research fellow in the Advanced Concepts Team of the European Space Agency, where he studied topics such as optical flow based control algorithms for extraterrestrial landing scenarios. After his return at TU Delft, his work has included fully autonomous flight of a 20-gram DelFly, a new theory on active distance perception with optical flow, a swarm of tiny drones able to explore unknown environments, and neuromorphic sensing and processing. Currently, he is Full Professor at TU Delft and scientific lead of the Micro Air Vehicle lab (MAVLab) of Delft University of Technology.
Dr. Shamal Mohammad
Dr. Shamal Mohammad
Head of Agritech
Innovation Oasis - Silal
"Desert farming: Addressing Challenges through Robotics and Automation"
Dr. Shamal Mohammed leads the AgriTech innovation program to deploy advanced technologies, enhance R&D capabilities, and integrate agronomic knowledge, all aimed at supporting local farmers in increasing production, enhancing farm sustainability, and improving profitability. As a leading AgriTech expert with over a decade of experience, Dr. Mohammed has been pivotal in developing and delivering solutions that significantly improve food production while promoting environmental sustainability. He holds an MBA from Cranfield School of Management, a Ph.D. in Remote Sensing and GIS, and a Master’s degree in Sustainable Environmental Management. Dr. Mohammed’s extensive expertise and dedication make him a key figure in driving the future of agricultural technology and sustainable farming practices.
Prof. Thomas Heckelei
Prof. Thomas Heckelei
Economic and Agricultural Policy
University of Bonn
"Barriers and opportunities for the adoption of robotic technologies in crop production"
Dr. Thomas Heckelei is a Professor of Economic and Agricultural Policy in the Institute for Food and Resource Economics at the University of Bonn. His research centers on the quantitative analysis of agri-environmental and trade policies with statistical and simulation models. Decision making at farm level in view of available technologies is a key area of interest and this naturally lead to recent research activities on the adoption of robotic technologies in crop production.
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