An autonomous robot for harvesting produce from a plant include a base, an arm coupled to the base, and an end-effector coupled to the arm. The end-effector includes one or more grippers, each having a first cutter, second cutter, and a compliant member between the first cutter and the second cutter. The first cutter is configured to cut a stem of the produce at a first location. The second cutter is configured to cut the stem of the produce at a second location. The compliant member is configured to plastically deform to hold the stem of the produce.

A system for harvesting berries comprising a tendon-driven gripper having fingers made of a compliant material.

A system for harvesting berries comprising a tendon-driven gripper having fingers made of a compliant material.

An apparatus for cultivation of long-stem vegetable plants, related system, methods and uses are provided. The apparatus includes a frame rack with at least one essentially horizontal cultivation platform configured to support a stem portion of at least one long-stem vegetable plant rooted in a static cultivation tray, wherein each the cultivation platform is established by a conveying device and wherein speed of the conveying device is adjustable such, as to correspond to the speed of plant growth.

An information processing apparatus having circuitry which performs object recognition on image data in order to recognize individual fruits and determines a harvest point of time for each recognized individual fruit.

A robotic unit for harvesting a fruit having a stem, the robot unit may include a vacuum unit that is configured to move the fruit, by applying vacuum, towards a cutting region; and a mechanical cutting unit that is configured to mechanically cut the stem following a positioning of the fruit into the cutting region.

A robotic unit for harvesting a fruit having a stem, the robot unit may include a vacuum unit that is configured to move the fruit, by applying vacuum, towards a cutting region; and a mechanical cutting unit that is configured to mechanically cut the stem following a positioning of the fruit into the cutting region.

Disclosed is an automated walnut picking and collection method based on multi-sensor fusion technology, including: operation 1.1: when a guide vehicle for automated picking and collection is started, performing path planning for the guide vehicle; operation 1.2: remotely controlling the guide vehicle to move in a park according to a first predetermined rule, and collecting laser data of the entire park; operation 1.3: constructing a two-dimensional offline map; operation 1.4: marking a picking road point on the two-dimensional offline map; operation 2.1: performing system initialization; operation 2.2: obtaining a queue to be collected; operation 2.3: determining and sending, by the automated picking system, a picking task; operation 2.4: arriving, by the picking robot, at picking target points in sequence; operation 2.5: completing a walnut shaking and falling operation; and operation 2.6: collecting shaken walnuts. The provided method can obtain high-precision fruit coordinates and complete autonomous harvesting precisely and efficiently.

Disclosed is an automated walnut picking and collection method based on multi-sensor fusion technology, including: operation 1.1: when a guide vehicle for automated picking and collection is started, performing path planning for the guide vehicle; operation 1.2: remotely controlling the guide vehicle to move in a park according to a first predetermined rule, and collecting laser data of the entire park; operation 1.3: constructing a two-dimensional offline map; operation 1.4: marking a picking road point on the two-dimensional offline map; operation 2.1: performing system initialization; operation 2.2: obtaining a queue to be collected; operation 2.3: determining and sending, by the automated picking system, a picking task; operation 2.4: arriving, by the picking robot, at picking target points in sequence; operation 2.5: completing a walnut shaking and falling operation; and operation 2.6: collecting shaken walnuts. The provided method can obtain high-precision fruit coordinates and complete autonomous harvesting precisely and efficiently.

An end effector includes a cutting mechanism, a gripping mechanism, and a pivot component. The cutting mechanism and the gripping mechanism are coupled to the pivot component. The cutting mechanism is coupled to a first portion of the pivot component and the gripping mechanism is coupled to a second portion of the pivot component.