Systems and methods for detecting a waste receptacle, the system including a camera for capturing an image, a convolutional neural network, and processor. The convolutional neural network can be trained for identifying target waste receptacles. The processor can be mounted on the waste-collection vehicle and in communication with the camera and the convolutional neural network configured for using the convolutional neural network. The processor can be configured for using the convolutional neural network to generate an object candidate based on the image; using the convolutional neural network to determine whether the object candidate corresponds to a target waste receptacle; and selecting an action based on whether the object candidate is acceptable.

A grabber assembly has a beam assembly with a bracket. A grabber gear assembly is coupled with the bracket. The grabber gear assembly has a pair of gear mechanisms coupled with the bracket. Each gear mechanism has a shaft and a pair of thrust bearings, one at each end of the shaft. A grabber arm mounting pad is coupled with each shaft. A gear section is coupled with each shaft. The gear sections of each shaft mesh with one another to drive the grabber arm mounting pads. An actuating driver is coupled with one of the shafts to drive the grabber gear assembly and move the arms between an open and grasping position.

The waste truck having a hydraulically operated packer blade in combination with a hydraulically operated rotary cart tipper driven by a rotary actuator. The packer blade resides within a chamber of the truck and is movable therein. The hydraulically driven rotary actuator of the cart tipper rotates the cart tipper from a first down position to a second up position and includes a metallic shaft with an arcuate slot therein sensed by an inductive proximity sensor. The diverter valve is a solenoid operated, 2-way normally open, pilot operated poppet valve and functions as a hydraulic interrupt valve which permits safe operation of the hydraulically operated packer blade and prevents collisions of the packer blade with the rotary cart tipper.

An intermediate container for a refuse vehicle where the container is positioned in front of the refuse vehicle is provided. A plurality of legs extends from the container toward the refuse vehicle. An attachment mechanism is on each leg to secure the legs to a front loading arm assembly of the refuse vehicle.

Systems and methods for detecting a waste receptacle, the system including a camera for capturing an image, a convolutional neural network, and processor. The convolutional neural network can be trained for identifying target waste receptacles. The processor can be mounted on the waste-collection vehicle and in communication with the camera and the convolutional neural network configured for using the convolutional neural network. The processor can be configured for using the convolutional neural network to generate an object candidate based on the image; using the convolutional neural network to determine whether the object candidate corresponds to a target waste receptacle; and selecting an action based on whether the object candidate is acceptable.

A refuse vehicle includes a body defining a refuse compartment, a refuse collection arm configured to engage and lift a refuse container, an object detection system configured to provide object detection data relating to locations of objects relative to the refuse vehicle, and a controller. The controller is configured to use the object detection data to determine if the refuse container is present within an aligned zone relative to the refuse vehicle. The aligned zone represents a range of locations in which the refuse collection arm is capable of engaging the refuse container. In response to a determination that the refuse container has been detected by the object detection system but is not within the aligned zone, the controller is configured to provide instructions to an operator that, when performed by the operator, cause the refuse vehicle to move such that the refuse container enters the aligned zone.

Systems and methods for autonomous robotic waste and recycling bin collection, including a plurality of receptacles, having a lid, a fill sensor on the underside of the lid and a collection bin, with a robot engagement mechanism. The fill sensor detects a fill level of the receptacle. The system also has autonomous robots, having a plurality of robot sensors and at least one prong connected to a motor. A bin collection server receives the fill levels from the fill sensors; determines a plurality of full bins; generates a collection instruction and sends the collection instruction to an autonomous robot. The autonomous robot navigates to each bin; inserts at least one prong into the robot engagement mechanism; lifts the collection bin; navigates to the collection facility; and deposits the collection bin in the collection facility.

A vehicle system includes a refuse vehicle, a carry can, and an electric energy system. The refuse vehicle includes a chassis, a body assembly coupled to the chassis, and a lift assembly. The body assembly defines a vehicle refuse compartment. The carry can is selectively couplable to the lift assembly. The carry can includes a container defining a container refuse compartment and an articulating collection arm coupled the container. The articulating collection arm has an actuator positioned to facilitate manipulating the articulating collection arm. The electric energy system is at least one of positioned on the refuse vehicle or positioned on the carry can. The electric energy system is configured to facilitate operating the actuator of the articulating collection arm.

A refuse vehicle comprises a chassis, a body assembly, a power source, and a side-loading lift assembly. The chassis is coupled to a plurality of wheels. The body assembly is coupled to the chassis and defines a refuse compartment configured to store refuse material. The side-loading lift assembly comprises a refuse container engagement mechanism and at least one electrically-driven actuation mechanism. The refuse container engagement mechanism is powered by the power source and is configured to selectively engage a refuse container. The at least one electrically-driven actuation mechanism is powered by the power source and is configured to selectively actuate the side-loading lift assembly between an extended position, a retracted position, and a refuse-dumping position.

A refuse vehicle comprises a chassis, a body assembly, a battery system, and a side-loading lift assembly. The body assembly is coupled to the chassis and defines a refuse compartment configured to store refuse material. The battery system is configured to be charged via at least one of an on-board electrical energy generator, an external power source, or a power regenerative braking system. The side-loading lift assembly comprises a refuse container engagement mechanism and at least one electrically-driven actuation mechanism. The refuse container engagement mechanism is configured to selectively engage a refuse container. The at least one electrically-driven actuation mechanism is powered by the battery system and is configured to selectively actuate the side-loading lift assembly between an extended position, a retracted position, and a refuse-dumping position.