Abstract: The method comprises separating the outer green rind the room aloe vera leaf thereby cleaning and drying in sunlight for two days followed by oven drying at 80° C. for about 24 hours; pyrolyzing the dried outer green rind in an inert environment of N2 gas at 400° C. for about 1 hour to obtain a pre-carbonized carbon (AV-C); mixing the AV-C with K2CO3 in a 2:1 impregnation ratio to obtain a mixture;; pyrolyzing the mixture of the AV-C and K2CO3 at 900° C.; removing resulting black charred residue and cleaning the resulting charred residue with double-distilled water and isopropyl alcohol; homogenizing the cleaned black material of reduced graphene oxide using an ultrasonic homogenizer at 30% power for 1 hour with 10 pulse rates thereby drying and filtering the reduced graphene oxide to obtain 3D-HPN-rGO; h) preparing an electrode using the obtained 3D-HPN-rGO; and i) constructing a supercapacitor device using the electrodes.

Abstract: Method, apparatuses, and computer program products for automatically determining a placement location or removal location for one or more items is disclosed. An example method comprising generating a plurality of three-dimensional pallet cells for a pallet; generating one or more three-dimensional item cells for each item of a plurality of items; determining a placement location comprising one or more three-dimensional pallet cells for one or more items of the plurality of items; and causing one or more indications describing the placement location for the one or more items of the plurality of items.

Abstract: Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include detecting a first set of objects, the first set of objects including two or more palletized objects of a plurality of palletized objects in a stack, wherein the two or more palletized objects of the first set of objects are disposed above a threshold height, wherein the stack has a front side and a back side; determining that a first object of the first set is closer than a second object of the first set is to the front side, wherein the first object of the first set is disposed lower than the second object of the first set; and manipulating an end effector to remove the first object from the stack before removing the second object from the stack and to deposit the first object in one or more deposit locations.

Abstract: Methods, apparatuses, systems, computing devices, and/or the like are provided. An example method may include determining a height value associated with a highest object on a pallet; causing a light detection and ranging (LiDAR) sensor to travel to a height based at least in part on the height value; determining whether a detection signal from the LiDAR sensor indicates a first clear status; in response to determining that the detection signal indicates the first clear status, causing a robotic arm to lift the object until the detection signal indicates a blocked status and then a second clear status.

Abstract: Embodiments of the present disclosure provide for improved real-world environment simulation and processing thereof. Some embodiments enable real-time simulating of a real-world environment, and/or visualization of portion(s) of the corresponding simulated environment. Some embodiments enable accurate testing of alteration(s) to a real-world environment utilizing simulated environment(s) to determine the effects of such alteration(s), and apply alteration(s) that are determined from said simulations to improve operation of the real-world environment. Such alteration(s) may be applied automatically to enable a self-optimizing environment based on such simulation(s).

Abstract: Embodiments of the present disclosure provide for improved model training and utilization. Embodiments of the present disclosure utilize high-fidelity data to train individual models across a plurality of computing devices, and utilize high-throughput communications networks (such as 5G communications networks) to enable continuous training of such models and/or central models based on the plurality of individual models (e.g., a federated centralized model optimized based on the individual models). Some embodiments provide the updated central model to one or more computing devices for use in processing further data and/or performing one or more subsequent tasks.

Abstract: Method, apparatuses, and computer program products for automatically determining a placement location or removal location for one or more items is disclosed. An example method comprising generating a plurality of three-dimensional pallet cells for a pallet; generating one or more three-dimensional item cells for each item of a plurality of items; determining a placement location comprising one or more three-dimensional pallet cells for one or more items of the plurality of items; and causing one or more indications describing the placement location for the one or more items of the plurality of items.