Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a downlink control information (DCI) comprising a grant scheduling a data transmission for the UE, the data transmission associated with a rateless coding scheme. The UE may determine to disable feedback information for the data transmission based at least in part on the rateless coding scheme and one or more of: the DCI, a resource associated with the DCI, or a semi-persistent scheduling configuration associated with the data transmission. The UE may perform or monitor for the data transmission according to the DCI and the rateless coding scheme. The UE may perform or monitor for the feedback information for the data transmission according to the determining.

Abstract: Aspects of the present disclosure provide techniques for physical uplink shared channel transmissions sent using multiple frequency domain resource allocations (FDRAs). According to certain aspects, a user equipment (UE) determines at least a first part frequency domain resource allocation (FDRA) and a second part FDRA, transmits a first part of a physical uplink shared channel (PUSCH) on the first part FDRA with a first precoder, and transmits a second part of the PUSCH on the second part FDRA with a second precoder.

Abstract: Aspects of the disclosure relate to transmitting, from a user equipment (UE) to a base station, information indicative of a multicast session that the UE is interested in accessing; transmitting information indicating that a first beam of a plurality of beams is a preferred beam for receiving multicast data associated with the multicast session; receiving, from the base station, a list of at least one beam of the plurality of beams associated with the multicast session; and receiving, from the base station using a beam from the list, multicast data associated with the multicast session. Other aspects, embodiments, and features are also claimed and described.

Abstract: In an aspect, a UE transmits an SL RTT measurement request to at least one UE. The UE communicates (e.g., transmits, receives, or both), with the at least one UE in response to the SL RTT measurement request, an indication of an SL RTT measurement (e.g., Rx-Tx time difference measurement for RTT).

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, a device may select antenna elements from a planar array to transmit or receive an orbital angular momentum (OAM) beam. The device may determine a first area (e.g., a first ring area) based on an angular direction over which the device can communicate an OAM beam with a second device and may determine a second area (e.g., a second ring area) on the planar array based on projecting the first area on the planar array. The device may select a set of antenna elements from the planar array that are located within the second area. The device may determine a complex-valued weight for each antenna element of the selected set of antenna elements and may transmit or receive an OAM beam to or from the second device via the set of antenna elements according to the angular direction.

Abstract: Robots might interact with planar objects (e.g., garments) for process automation, quality control, to perform sewing operations, or the like. It is recognized herein that robots interacting with such planar objects can pose particular problems, for instance problems related to detecting the planar object and estimating the pose of the detected planar object. A system can be configured to detect or segment planar objects, such as garments. The system can include a three-dimensional (3D) sensor positioned to detect a planar object along a transverse direction. The system can further include a first surface that supports the planar object. The first surface can be positioned such that the planar object is disposed between the first surface and the 3D sensor along the transverse direction. In various examples, the 3D sensor is configured to detect the planar object without detecting the first surface.

Abstract: In an aspect, a wireless node (e.g., UE or BS) measures, at a first hop of a frequency hopping scheme, a reference signal (RS) on a first sub-band of an effective RS bandwidth, and measures, at a second hop of the frequency hopping scheme, the RS on a second sub-band of the effective RS bandwidth, the first and second sub-bands of the effective RS bandwidth overlapping in part. In another aspect, a UE transmits, at a first hop of a frequency hopping scheme, a reference signal (RS) on a first sub-band of an effective RS bandwidth, and transmits, at a second hop of the frequency hopping scheme, the RS on a second sub-band of the effective RS bandwidth, the first and second sub-bands of the effective RS bandwidth overlapping in part.

Abstract: An apparatus and method for transmitting reference signal and a communication system. The method includes: transmitting first information on one or more beams formed by a plurality of antennas in beam sweeping duration, the first information at least comprising a synchronization channel, a first reference signal and a physical broadcast channel. Hence, a receiving device may demodulate the physical broadcast channel by using the first reference signal, thereby achieving design of beam reference signals in a beam sweeping system.

Abstract: Distributed neural network boosting is performed by a neural network system through operating at least one processor. A method comprises providing a boosting algorithm that distributes a model among a plurality of processing units each being a weak learner of multiple weak learners that can perform computations independent from one another yet process data concurrently. The method further comprises enabling a distributed ensemble learning which enables a programmable logic controller (PLC) to use more than one processing units of the plurality of processing units to scale an application and training the multiple weak learners using the boosting algorithm. The multiple weak learners are machine learning models that do not capture an entire data distribution and are purposefully designed to predict with a lower accuracy. The method further comprises using the multiple weak learners to vote for a final hypothesis based on a feed forward computation of neural networks.

Abstract: Methods, systems, and devices for wireless communications are described. A communication device, which may be a user equipment (UE), may receive a message including an indication of a set of demodulation reference signal (DMRS) candidates for a data channel. The data channel may be a physical downlink shared channel (PDSCH) or a physical uplink shared channel (PUSCH) in some examples. The UE may determine a set of parameters associated with the set of DMRS candidates based on the received message. The set of parameters may correspond to a radio frequency spectrum subband or a radio frequency spectrum band associated with the data channel. The UE may estimate one or more characteristics of the data channel using the set of parameters associated with the set of DMRS candidates to perform wireless communication (e.g., PDSCH reception, PUSCH transmission).

Abstract: The method and system disclosed herein presents a method and system for capturing, by a camera device on a mobile robot moving in an environment, an image frame at a first location within a portion of the environment. In accordance with a determination that the image frame contains a first visual marker: the method includes determining a camera orientation angle from the camera device to a first anchor associated with the first visual marker based on the image frame; detecting, by a detector on the mobile robot, a first beacon signal emitted by the first anchor. The method includes determining a distance between the mobile robot and the first anchor; and determining an orientation angle of the mobile robot based on the camera orientation angle, and the distance between the mobile robot and the first anchor.

Abstract: Methods, systems, and devices for wireless communications are described. A base station may transmit one or more synchronization signal blocks (SSBs), each SSB including a system information block (SIB), to one or more user equipments (UEs). A UE of the one or more UEs may select an SSB with a corresponding SSB index for receiving a SIB and subsequently a multicast transmission from the base station. The multicast transmission may include transmitting a multicast control channel, a multicast traffic channel, or both. The SIB may include one or more parameters for receiving the multicast transmission. The UE may identify one or more monitoring occasions for monitoring a physical downlink control channel for scheduling the multicast transmission based on the SSB index. The UE may receive the multicast transmission in accordance with the one or more parameters from the physical downlink control channel during the one or more monitoring occasions.

Abstract: The present disclosure provides sounding reference signal transmission and configuration methods, user equipment, and a network side device. The method for sounding reference signal (SRS) transmission includes receiving uplink resources of at least one cell from a network side device, where the uplink resources of each of the at least one cell comprise one or more SRS resource sets. The method further includes selecting, according to a predefined rule, at least one SRS resource set of each of the at least one cell for sending, when in a scenario in which an SRS switches between carriers for sending, where the scenario is configured by the network side device.

Abstract: A message transmitting/receiving apparatus and method and a communication system. The message transmitting method includes: determining a message type of a message to be transmitted to one or more user equipments; scrambling control information of the message by using an identity to which the message type corresponds; wherein, different identities correspond to different message types; and transmitting data information of the message and the scrambled control information to the one or more user equipment.

Abstract: A system for supporting artificial intelligence inference in an edge computing device associated with a physical process or plant includes a neural network training module, a neural network testing module and a digital twin of the physical process or plant. The neural network training module is configured to train a neural network model for deployment to the edge computing device based on data including baseline training data and field data received from the edge computing device. The neural network testing module configured to validate the trained neural network model prior to deployment to the edge computing device by leveraging the digital twin of the physical process or plant.

Abstract: According to an aspect of the present disclosure, a computer-implemented includes creating a plurality of basic skill functions for a controllable physical device of an autonomous system. Each basic skill function includes a functional description for using the controllable physical device to interact with a physical environment to perform a defined objective. The method further includes selecting one or more basic skill functions to configure the controllable physical device to perform a defined task. The method also includes determining a decorator skill function specifying at least one constraint. The decorator skill function is configured to impose, at run-time, the at least one constraint, on the one or more basic skill functions. The method further includes generating executable code by applying the decorator skill function to the one or more basic skill functions, and actuating the controllable physical device using the executable code.

Abstract: In current applications of autonomous machines in industrial settings, the environment, in particular the devices and systems with which the machine interacts, is known such that the autonomous machine can operate in the particular environment successfully. Thus, current approaches to automating tasks within varying environments, for instance complex environments having uncertainties, lack capabilities and efficiencies. In an example aspect, a method for operating an autonomous machine within a physical environment includes detecting an object within the physical environment. The autonomous machine can determine and perform a principle of operation associated with a detected subcomponent of the object, so as to complete a task that requires that the autonomous machine interacts with the object. In some cases, the autonomous machine has not previously encountered the object.

Abstract: The method and system disclosed herein presents a method and system for capturing, by a camera disposed on a device moving in an environment, a plurality of image frames recorded in a first coordinate reference frame at respective locations within a portion of the environment in a first time period; capturing, by an inertial measurement unit disposed on the device, sets of inertial odometry data recorded in a second coordinate reference frame; determining a rotational transformation matrix that corresponds to a relative rotation between the first reference frame and the second reference frame; and determining a scale factor from the matching pairs of image frames. The rotational transformation matrix defines an orientation of the device, and the scale factor and the rotational transformation matrix calibrate the plurality of image frames captured by the camera.

Abstract: A method for automatically generating a bill of process in a manufacturing system comprising: receiving design information representative of a product to be produced; iteratively performing simulations of the manufacturing system; identifying manufacturing actions based on the simulations; optimizing the identified manufacturing actions to efficiently produce the product to be produced; generating, by the manufacturing system, a bill of process for producing the product. Simulations may be performed using a digital twin of the product being produced and a digital twin of the environment. System actions are optimized using a reinforcement learning technique to automatically produce a bill of process based on the design information of the product and task specifications.

Abstract: The method and device disclosed herein presents a method that includes capturing, by an optical sensor disposed on a device moving in an environment, a plurality of optical data at respective locations within a portion of the environment; capturing, by a wheel encoder disposed on the device, a set of encoder data corresponding to the plurality of optical data at the respective locations; determining a first relative motion based on the plurality of optical data; determining a corresponding second relative motion based on the set of encoder data. In accordance with determining that a difference between the first relative motion and the corresponding second relative motion is larger than a first threshold: increasing a counter indicating a slip event of the wheel encoder. The slip event corresponds to a wheel of the device advancing and the corresponding second relative motion being below a second threshold.