A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

A robotic fruit picking system includes an autonomous robot that includes a positioning subsystem that enables autonomous positioning of the robot using a computer vision guidance system. The robot also includes at least one picking arm and at least one picking head, or other type of end effector, mounted on each picking arm to either cut a stem or branch for a specific fruit or bunch of fruits or pluck that fruit or bunch. A computer vision subsystem analyses images of the fruit to be picked or stored and a control subsystem is programmed with or learns picking strategies using machine learning techniques. A quality control (QC) subsystem monitors the quality of fruit and grades that fruit according to size and/or quality. The robot has a storage subsystem for storing fruit in containers for storage or transportation, or in punnets for retail.

A shaker device including at least one motorized member that is intended to transmit by contact a shaking force to objects to be shaken. The member includes at least one structural insert that is covered by a wear jacket. The structural insert includes a reinforcement included in a matrix that is covered by the jacket. The matrix is based on a material which is different from that of the jacket in that it is adapted to adhere to the reinforcement and to the material of the jacket.

A shaker device including at least one motorized member that is intended to transmit by contact a shaking force to objects to be shaken. The member includes at least one structural insert that is covered by a wear jacket. The structural insert includes a reinforcement included in a matrix that is covered by the jacket. The matrix is based on a material which is different from that of the jacket in that it is adapted to adhere to the reinforcement and to the material of the jacket.

The invention relates to pneumatic cushions for soft reception of harvested fruit on mechanized fruit harvesters, meant to cushion the fall of harvested fruit wherein the assembly (3) consists of a plastic reception tray (4) and a rubber membrane (5), and the whole assembly (3) has a polygonal shape. The rubber membrane (5), which is most favourably made of food-grade rubber, is stretched over the upper side of the reception tray (4) and the side edges of the tray (4), and attached to the side surfaces of the tray (4). The membrane (5) is glued around the entire side perimeter of the tray (4) and secured by means of a safety tape (6). On the part opposite to sides (c, d), on the bottom of the tray (4), are fitted blow-holes (7) for release of air from underneath the membrane (5). On the corner of the tray (4), formed by sides (a, e), is fitted a mechanism (10) for revolving connection of the tray (4) to the support (23) and to air supply pipes (20), wherein the mechanism (10) includes an axle (12) and a bushing (13) with a hole (14).

A shaped conveyor assembly configured for use in association with a harvester comprising a first side lower conveyor sub-assembly and a second lower conveyor subassembly. One or both of the sub-assemblies having a frame structure, a discharge assembly and a conveyor assembly. The frame structure has a gathering portion, an outward portion and a terminating portion. The gathering portion is positioned proximate the first end and spaced apart from the second end. The terminating portion is positioned proximate the second end and spaced apart from the first end. The outward portion extends therebetween, the outward portion being inclined in an upward direction relative to the gathering portion, and directed in an outward direction, thereby extending away from the channel, and away from the other one of the first side and the second side lower conveyor sub-assemblies.