A system may include sensor equipment, a local yard maintenance manager and a remote yard maintenance manager. The sensor equipment includes one or more sensors disposed on a parcel of land. The local yard maintenance manager may be disposed proximate to the parcel and configured to interface with the sensor equipment to monitor growing conditions on the parcel. The remote yard maintenance manager may be disposed remotely with respect to the parcel and configured to interface with the sensor equipment.

A robot control system according to an embodiment is a control system for a robot comprising an arm, the arm being capable of holding a tool while rotating the tool and capable of moving the tool in at least two-dimensional directions, the arm being equipped with a rotating mechanism provided for the tool. The robot control system comprises a load-acquiring unit and a control-signal-generating unit. The load-acquiring unit is configured to acquire a force measured by a force sensor configured to measure a force applied from the tool to the arm during profile copying performed on a machining object by moving the arm while a copying guide attached to the arm and a copying mold placed on the machining object are kept in contact with each other. The control-signal-generating unit is configured to automatically control the arm by generating a control signal for the arm in accordance with the force acquired by the load-acquiring unit and with control information for the arm regarding the profile copying, and by outputting the control signal to the arm.

Provided is a tool path generating method for processing wood as a processing object by a multi-axis processing machine, including a plane extracting step of extracting at least one plane included in a processing objective region being a region at which the processing object is processable, a plane processing determining step of determining whether or not the plane extracted in the plane extracting step is processable by a disk blade attached to the multi-axis processing machine, a disk blade processing path generating step of generating a processing path for the disk blade on the plane determined as being processable in the plane processing determining step, and a tool path generating step of generating a tool path including the processing path for the disk blade.

A robot control system according to an embodiment is a control system for a robot comprising an arm, the arm being capable of holding a tool while rotating the tool and capable of moving the tool in at least two-dimensional directions, the arm being equipped with a rotating mechanism provided for the tool. The robot control system comprises a load-acquiring unit and a control-signal-generating unit. The load-acquiring unit is configured to acquire a force measured by a force sensor configured to measure a force applied from the tool to the arm during profile copying performed on a machining object by moving the arm while a copying guide attached to the arm and a copying mold placed on the machining object are kept in contact with each other. The control-signal-generating unit is configured to automatically control the arm by generating a control signal for the arm in accordance with the force acquired by the load-acquiring unit and with control information for the arm regarding the profile copying, and by outputting the control signal to the arm.

The present application discloses implementations relate to automated generation of interlocking joint features. An example method involves obtaining a virtual model of an object. The virtual model specifies dimensions of a first element, dimensions of a second element, and a spatial relation between the first element and the second element that defines a joint angle. The example method also involves obtaining a relationship that correlates element dimensions and joint angles with cut dimensions. The example method further involves determining cut dimensions for the first element the second element based on the relationship, the dimensions of the first element, the dimensions of the second element, and the joint angle. Modifying the first element and the second element according to the cut dimensions produces interlockable features on the first element and the second element. Additionally, the method involves providing an output signal indicative of the cut dimensions.

A system may include sensor equipment, a local yard maintenance manager and a remote yard maintenance manager. The sensor equipment includes one or more sensors disposed on a parcel of land. The local yard maintenance manager may be disposed proximate to the parcel and configured to interface with the sensor equipment to monitor growing conditions on the parcel. The remote yard maintenance manager may be disposed remotely with respect to the parcel and configured to interface with the sensor equipment.

Systems and methods may include an unmanned lawn mower that includes a predictive model service. The predictive model service may be trained by a machine learning system and may serve to autonomously control the unmanned lawn mower. In this way, the unmanned lawn mower may navigate throughout a lawn and may cut the lawn and/or perform other lawn maintenance procedures during the navigation. The system may also include a variety of sensors and cameras to detect image data and environmental data of an area surrounding the unmanned lawn mower. The image data and the environmental data may be provided to the predictive model service in order to control the operation of the unmanned lawn mower in real-time.

An intelligent digital controller of a flexible material cutting robot and a realization method are provided. The controller comprises: an ARM chip, a servo driver bus communication module and a CPLD module. The ARM chip has built-in two processor cores (Cortex-M0 and Cortex-M4) and is externally connected with a flash memory, an SD card, SRAMs and an Ethernet physical transceiver_2; the Cortex-M0 reads a corresponding graph in the SD card into SRAM_1 according to a graph number, and sends a graph data readiness interruption request to an interruption controller; and after the interruption request is responded, Cortex-M4 reads in graph data and conducts interpolation calculation on the graph; the servo driver bus communication module is used to receive an interpolation calculation result and transmit the calculation result to a data input end of a servo driver with a corresponding address number through a data sending port.

An apparatus for cutting involves a support configured to stably support the apparatus on a surface, an articulated boom rotatably mounted on the support proximate a first end of the boom, and a hydraulically operated end effector mounted on the boom proximate a second end of the boom. The end effector has a cutter configured to cut an object, and preferably also has an immobilizer (e.g. a gripper) configured to immobilize the object while being cut by the cutter. The end effector has a swivel between the cutter (and/or immobilizer) and the boom, the swivel rotatable continuously through 360 to rotate the cutter (and/or immobilizer) continuously through 360. The swivel has an internal fluid conduit through which hydraulic fluid may be transported from a hydraulic fluid reservoir to the cutter to hydraulically operate the cutter.

Systems and methods may include an unmanned lawn mower that includes a predictive model service. The predictive model service may be trained by a machine learning system and may serve to autonomously control the unmanned lawn mower. In this way, the unmanned lawn mower may navigate throughout a lawn and may cut the lawn and/or perform other lawn maintenance procedures during the navigation. The system may also include a variety of sensors and cameras to detect image data and environmental data of an area surrounding the unmanned lawn mower. The image data and the environmental data may be provided to the predictive model service in order to control the operation of the unmanned lawn mower in real-time.