A kit is described for enabling an unskilled operator to set up an edge or cloud-connected autonomous distributed deposition robot (ADDR) 10 within minutes of unboxing, autonomously define a deposition zone 120 by following an automated instruction guide to accurately place a smart scanner 210 and other identifiable target objects 220 over a surface, and to use the ADDR and an accompanying Cloud-based automated deposition management software platform to print a design, or otherwise deposit material, accurately over an area such as a sports pitch. The system can also be used to deposit paint, ink, fertiliser, plant seeds or other necessary payload at a particular geographic reference location, indoor or outdoor.

A kit is described for enabling an unskilled operator to set up an edge or cloud-connected autonomous distributed deposition robot (ADDR) 10 within minutes of unboxing, autonomously define a deposition zone 120 by following an automated instruction guide to accurately place a smart scanner 210 and other identifiable target objects 220 over a surface, and to use the ADDR and an accompanying Cloud-based automated deposition management software platform to print a design, or otherwise deposit material, accurately over an area such as a sports pitch. The system can also be used to deposit paint, ink, fertiliser, plant seeds or other necessary payload at a particular geographic reference location, indoor or outdoor.

A collection device includes an acquisition device, a control device, and a detection device. The acquisition device acquires information inside a space of a target region. The control device sets a detection path for a collection device based on an unreachable region within the space of the target region. The detection device acquires environmental data including environmental data of the unreachable region detected when the collection device moves along the detection path in the space of the target region.

A collection device includes an acquisition device, a control device, and a detection device. The acquisition device acquires information inside a space of a target region. The control device sets a detection path for a collection device based on an unreachable region within the space of the target region. The detection device acquires environmental data including environmental data of the unreachable region detected when the collection device moves along the detection path in the space of the target region.

An autonomous agricultural assembly configurator includes one or more processors configured to receive one or more characteristic bundle inputs. Characteristic bundles include a field characteristic bundle associated with a field, an implement characteristic bundle associated with an agricultural implement, or a vehicle characteristic bundle associated with an agricultural vehicle. The configurator generates an autonomous configuration profile for an autonomous agricultural operation according to the received characteristic bundle inputs. Generation includes determining the autonomous agricultural operation based on the implement characteristic bundle, and determining operation parameters for the autonomous agricultural operation based on one or more of the implement characteristic bundle or the vehicle characteristic bundle. The one or more processors control the agricultural vehicle and the agricultural implement to conduct the agricultural operation according to the autonomous configuration profile.

An autonomous agricultural assembly configurator includes one or more processors configured to receive one or more characteristic bundle inputs. Characteristic bundles include a field characteristic bundle associated with a field, an implement characteristic bundle associated with an agricultural implement, or a vehicle characteristic bundle associated with an agricultural vehicle. The configurator generates an autonomous configuration profile for an autonomous agricultural operation according to the received characteristic bundle inputs. Generation includes determining the autonomous agricultural operation based on the implement characteristic bundle, and determining operation parameters for the autonomous agricultural operation based on one or more of the implement characteristic bundle or the vehicle characteristic bundle. The one or more processors control the agricultural vehicle and the agricultural implement to conduct the agricultural operation according to the autonomous configuration profile.

A method for characterizing a radiofrequency environment, comprising: obtaining measurements of geometrical properties of physical objects in the environment, geometrical properties including at least respective positions and dimensions of objects, simulating radiofrequency ray-tracings involving a multiplicity of simulated rays, each ray being: emitted by a transmitter located in said environment in a transmitter position, and/or received by a receiver located in said environment in a receiver position, each pair of a transmitter and a receiver positions defining therebetween a radiofrequency path where rays possibly interact with at least a part of objects, selecting, among all the paths, at least one path defined by rays interacting with the objects which interact the most with rays, obtaining radiofrequency measurements of a radiofrequency channel defined by the selected path and estimating radiofrequency properties of objects interacting in selected path, radiofrequency properties and geometrical properties of objects characterizing thereby environment.

A method for characterizing a radiofrequency environment, comprising: obtaining measurements of geometrical properties of physical objects in the environment, geometrical properties including at least respective positions and dimensions of objects, simulating radiofrequency ray-tracings involving a multiplicity of simulated rays, each ray being: emitted by a transmitter located in said environment in a transmitter position, and/or received by a receiver located in said environment in a receiver position, each pair of a transmitter and a receiver positions defining therebetween a radiofrequency path where rays possibly interact with at least a part of objects, selecting, among all the paths, at least one path defined by rays interacting with the objects which interact the most with rays, obtaining radiofrequency measurements of a radiofrequency channel defined by the selected path and estimating radiofrequency properties of objects interacting in selected path, radiofrequency properties and geometrical properties of objects characterizing thereby environment.

An implement management system detects implement wear and monitors implement states to modify operating modes of a vehicle. The system can determine implement wear using the pull of the implement on the vehicle, the force and angle of which is represented by an orientation vector. The system may measure a current orientation vector and determine an expected orientation vector using sensors and a model (e.g., a machine learned model). Additionally, the implement management system can determine an implement state based on images of the soil and the implement captured by a camera onboard the vehicle during operation. The system may apply different models to the images to determine a likely state of the implement. The difference between the expected and current orientation vectors or the determined implement state may be used to determine whether and how the vehicle's operating mode should be modified.

An automated operational and mission planning system for power unit and implement operations. The system generating connection profiles based on power unit profiles and implement profiles to facilitate operational controls for a combined machine system. The mission planning system generating plans for selected projects using implement-based operation instructions. The operational system onboard the power unit executing mission plan with connection profile adjustments to drive implement operation.