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This paper provides an overview of the current state-of-the-art in selectiveharvesting robots (SHRs) and their potential for addressing the challenges ofglobal food production. SHRs have the potential to increase productivity,reduce labour costs, and minimise food waste by selectively harvesting onlyripe fruits and vegetables. The paper discusses the main components of SHRs,including perception, grasping, cutting, motion planning, and control. It alsohighlights the challenges in developing SHR technologies, particularly in theareas of robot design, motion planning and control. The paper also discussesthe potential benefits of integrating AI and soft robots and data-drivenmethods to enhance the performance and robustness of SHR systems. Finally, thepaper identifies several open research questions in the field and highlightsthe need for further research and development efforts to advance SHRtechnologies to meet the challenges of global food production. Overall, thispaper provides a starting point for researchers and practitioners interested indeveloping SHRs and highlights the need for more research in this field.

Towards Autonomous Selective Harvesting: A Review of Robot Perception, Robot Design, Motion Planning and Control