A computing device performs computation for controlling operations of a mobile manipulator configured to hold a plurality of target objects with a manipulator and move the target objects to predetermined positions. The computing device includes a storage and a calculator. The storage stores a trained machine learning model trained by inputting a plurality of training data sets, which are combinations of state variables and pieces of determination data associated with the state variables. The training data sets are acquired in advance. The calculator outputs a movement-target object to be moved to a predetermined position at current time by inputting the state variable to the trained machine learning model read from the storage. The state variable contains relative positions of the target objects to a specific portion of the mobile manipulator. The determination data associated with the state variable represents the movement-target object.

A method includes receiving sensor data representative of surfaces in a physical environment containing an interaction point for a robotic device, and determining, based on the sensor data, a height map of the surfaces in the physical environment. The method also includes determining, by inputting the height map and the interaction point into a pre-trained model, one or more candidate positions for a base of the robotic device to allow a manipulator of the robotic device to reach the interaction point. The method additionally includes determining a collision-free trajectory to be followed by the manipulator to reach the interaction point when the base of the robotic device is positioned at a selected candidate position of the one or more candidate positions and, based on determining the collision-free trajectory, causing the base of the robotic device to move to the selected candidate position within the physical environment.

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 biomimetics based robot is disclosed. The robot may include filament driven and fluid pumped elastomer based artificial muscles coordinated for slow twitch/fast twitch contraction and movement of the robot by one or more microcontrollers. A process may provide physics based simulation for movement of a robot in a virtual setting. Embodiments include artificial skin and sensor systems in the artificial muscles and artificial skin whose feedback is used to control the muscles and movement of the robot.

A method includes receiving sensor data representative of surfaces in a physical environment containing an interaction point for a robotic device and determining, based on the sensor data, a height map of the surfaces in the physical environment. The method also includes determining, by inputting the height map and the interaction point into a pre-trained model, one or more candidate positions for a base of the robotic device to allow a manipulator of the robotic device to reach the interaction point. The method additionally includes determining a collision-free trajectory to be followed by the manipulator of the robotic device to reach the interaction point when the base of the robotic device is positioned at a selected candidate position of the one or more candidate positions and, based on determining the collision-free trajectory, causing the base of the robotic device to move to the selected candidate position within the physical environment.

A computing device performs computation for controlling operations of a mobile manipulator configured to hold a plurality of target objects with a manipulator and move the target objects to predetermined positions. The computing device includes a storage and a calculator. The storage stores a trained machine learning model trained by inputting a plurality of training data sets, which are combinations of state variables and pieces of determination data associated with the state variables. The training data sets are acquired in advance. The calculator outputs a movement-target object to be moved to a predetermined position at current time by inputting the state variable to the trained machine learning model read from the storage. The state variable contains relative positions of the target objects to a specific portion of the mobile manipulator. The determination data associated with the state variable represents the movement-target object.

A method includes receiving sensor data representative of surfaces in a physical environment containing an interaction point for a robotic device and determining, based on the sensor data, a height map of the surfaces in the physical environment. The method also includes determining, by inputting the height map and the interaction point into a pre-trained model, one or more candidate positions for a base of the robotic device to allow a manipulator of the robotic device to reach the interaction point. The method additionally includes determining a collision-free trajectory to be followed by the manipulator of the robotic device to reach the interaction point when the base of the robotic device is positioned at a selected candidate position of the one or more candidate positions and, based on determining the collision-free trajectory, causing the base of the robotic device to move to the selected candidate position within the physical environment.

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 closed-circuit television (CCTV) online pipeline detection system includes a detection robot and a control terminal of the detection robot, where the detection robot is provided with a CCTV pipeline detection system adapted to the detection robot; the CCTV pipeline detection system includes a GTR8600 monitoring module, a drive device, and a power drive device; the control terminal is separately electrically connected with the GTR8600 monitoring module, the drive device, and the power drive device through a control system; and the control system is provided inside the control terminal.