Design and simulation of an integrated end-effector for picking kiwifruit by robot

Abstract The harvesting of fresh kiwifruit is a labor-intensive operation that accounts for more than 25% of annual production costs. Mechanized harvesting technologies are thus being developed to reduce labor requirements for harvesting kiwifruit. To improve the efficiency of a harvesting robot for picking kiwifruit, we designed an end-effector, which we report herein along with the results of tests to verify its operation. By using the established method of automated picking discussed in the literature and which is based on the characteristics of kiwifruit, we propose an automated method to pick kiwifruit that consists of separating the fruit from its stem on the tree. This method is experimentally verified by using it to pick clustered kiwifruit in a scaffolding canopy cultivation. In the experiment, the end-effector approaches a fruit from below and then envelops and grabs it with two bionic fingers. The fingers are then bent to separate the fruit from its stem. The grabbing, picking, and unloading processes are integrated, with automated picking and unloading performed using a connecting rod linkage following a trajectory model. The trajectory was analyzed and validated by using a simulation implemented in the software Automatic Dynamic Analysis of Mechanical Systems (ADAMS). In addition, a prototype of an end-effector was constructed, and its bionic fingers were equipped with fiber sensors to detect the best position for grabbing the kiwifruit and pressure sensors to ensure that the damage threshold was respected while picking. Tolerances for size and shape were incorporated by following a trajectory groove from grabbing and picking to unloading. The end-effector separates clustered kiwifruit and automatically grabs individual fruits. It takes on average 4–5 s to pick a single fruit, with a successful picking rate of 94.2% in an orchard test featuring 240 samples. This study shows the grabbing–picking–unloading robotic end-effector has significant potential to facilitate the harvesting of kiwifruit.

[1]  Y. Cui,et al.  Study on Cartesian-Type Strawberry-Harvesting Robot , 2013 .

[2]  Kuan Chong Ting,et al.  Visual feedback guided robotic cherry tomato harvesting , 1996 .

[3]  Yuanshen Zhao,et al.  Robust Tomato Recognition for Robotic Harvesting Using Feature Images Fusion , 2016, Sensors.

[4]  J. Bontsema,et al.  An Autonomous Robot for Harvesting Cucumbers in Greenhouses , 2002, Auton. Robots.

[5]  Fabrizio Mazzetto,et al.  Design, implementation and validation of a stability model for articulated autonomous robotic systems , 2016, Robotics Auton. Syst..

[6]  Mitsuji Monta,et al.  End-Effectors for Tomato Harvesting Robot , 1998, Artificial Intelligence Review.

[7]  William MacKunis,et al.  Robust visual servo control in the presence of fruit motion for robotic citrus harvesting , 2016, Comput. Electron. Agric..

[8]  Jochen Hemming,et al.  Performance Evaluation of a Harvesting Robot for Sweet Pepper , 2017, J. Field Robotics.

[9]  Rory C. Flemmer,et al.  Development of an autonomous kiwifruit picking robot , 2000, 2009 4th International Conference on Autonomous Robots and Agents.

[10]  Siva Kumar Balasundram,et al.  Research and development in agricultural robotics: a perspective of digital farming. , 2018 .

[11]  Lipeng Chen,et al.  Design of End-effector for Kiwifruit Harvesting Robot Experiment , 2017 .

[12]  Kenta Shigematsu,et al.  Evaluation of a strawberry-harvesting robot in a field test , 2010 .

[13]  Changki Mo,et al.  Design, integration, and field evaluation of a robotic apple harvester , 2017, J. Field Robotics.

[14]  Jun Li,et al.  Characterizing apple picking patterns for robotic harvesting , 2016, Comput. Electron. Agric..

[15]  Xiangjun Zou,et al.  Vision-based extraction of spatial information in grape clusters for harvesting robots , 2016 .

[16]  Mitsuji Monta,et al.  Basic constitution of a robot for agricultural use , 1995, Adv. Robotics.

[17]  M. Gómez-López,et al.  Kiwifruit in Syrup: Consumer Acceptance, Purchase Intention and Influence of Processing and Storage Time on Physicochemical and Sensory Characteristics , 2015, Food and Bioprocess Technology.

[18]  Zhao Dean,et al.  System Design and Control of an Apple Harvesting Robot , 2020, ArXiv.

[19]  Yael Edan,et al.  Harvesting Robots for High‐value Crops: State‐of‐the‐art Review and Challenges Ahead , 2014, J. Field Robotics.

[20]  Wei Zou,et al.  Design and test of robotic harvesting system for cherry tomato , 2018 .

[21]  Dean Zhao,et al.  Grasping damage analysis of apple by end-effector in harvesting robot , 2017 .

[22]  Y. Gejima,et al.  Mechanized technologies for scaffolding cultivation in the kiwifruit industry: A review , 2018, Information Processing in Agriculture.

[23]  Tristan Perez,et al.  Autonomous Sweet Pepper Harvesting for Protected Cropping Systems , 2017, IEEE Robotics and Automation Letters.

[24]  E. J. van Henten,et al.  Development of a cucumber leaf picking device for greenhouse production , 2007 .

[25]  F Universit,et al.  Development and Experiment of End-effector for Kiwifruit Harvesting Robot , 2015 .

[26]  P. P. Li,et al.  Mechanical and kinematic modeling of assistant vacuum sucking and pulling operation of tomato fruits in robotic harvesting , 2015 .

[27]  Quanmin Zhu,et al.  Adaptive synchronised tracking control for multiple robotic manipulators with uncertain kinematics and dynamics , 2016, Int. J. Syst. Sci..

[28]  Siddhartha S. Mehta,et al.  Vision-based control of robotic manipulator for citrus harvesting , 2014 .