Abstract: In state of the art methods for object goal navigation, scene understanding is implicit in their goal oriented exploration policies. Implicit scene understanding coupled with navigation is shown to be specific to tasks for which training is done and not generalizable to new tasks. Thus, embodiments of present disclosure propose a method of goal-conditioned exploration wherein scene understanding is decoupled from the exploration policies. Here, the scene understanding required for navigation is provided by a region classification network that is trained using semantic graphs representing the scene and agent can be navigated towards the goal either by using any state of the art pure exploration policies or by traversing through potential sub-goals identified based on a Co-occurrence Likelihood score calculated by using predictions from the region classification network. Hence, the method of present disclosure can be easily generalized to new tasks and new environments.

Abstract: A repeating switch antenna comprising a transmission signal amplifier configured to amplify a transmission signal based on a power control signal, a first coupler configured to receive (i) the amplified transmission signal, (ii) a reception signal, and (iii) a load impedance, a noise cancelation circuit configured to generate the load impedance based on an in-phase channel input and a quadrature channel input, a digital acquisition system configured to (i) generate the power control signal, (ii) generate the in-phase channel input and the quadrature channel input, and (iii) generate a select signal, reception signal amplifier configured to receive the reception signal from the first coupler and amplify the reception signal, and a radio frequency (RF) switch configured to (i) route the amplified transmission signal from the first coupler to the RF connector or to an antenna based on the select signal, and (ii) route the reception signal to the first coupler.

Abstract: The present disclosure provides a model for semantic navigation for service robots to find out-of-view objects in an indoor environment. Initially, the system receives a target object to be reached by the mobile robot in the indoor environment. Further, a current location of the mobile robot is identified by a localization technique. An embedding corresponding to each of a plurality of visible regions is computed using a pretrained Graph Neural Network GNN. The GNN is pretrained using a trajectory data and a spatial relationship graph associated with the indoor environment. Further, a similarity score is computed for each of the plurality of visible regions based on the corresponding embedding using a scoring technique. An optimal visible region is identified by comparing the similarity score. Finally, a next action to be taken by the mobile robot selected from a plurality of actions based on the optimal visible region.

Abstract: In state of the art methods for object goal navigation, scene understanding is implicit in their goal oriented exploration policies. Implicit scene understanding coupled with navigation is shown to be specific to tasks for which training is done and not generalizable to new tasks. Thus, embodiments of present disclosure propose a method of goal-conditioned exploration wherein scene understanding is decoupled from the exploration policies. Here, the scene understanding required for navigation is provided by a region classification network that is trained using semantic graphs representing the scene and agent can be navigated towards the goal either by using any state of the art pure exploration policies or by traversing through potential sub-goals identified based on a Co-occurrence Likelihood score calculated by using predictions from the region classification network. Hence, the method of present disclosure can be easily generalized to new tasks and new environments.

Abstract: Various embodiments illustrated herein disclose a computing device comprising a wake-up detect circuit configured to detect a state change of a link light emitting diode (LED) associated with the computing device. The wake-up detect circuit is configured to transmit a wakeup trigger signal to a processor to transit from a sleep mode to a wake-up mode in response to the detection of the state change of the link LED. The processor is configured to establish a connection between the computing device and another computing device via a communication link in the wake-up mode, the other computing device corresponds to a device that has caused the state change of the link LED.

Abstract: A system and method for testing a plurality of memory blocks in a System on Chip (SOC) design uses two Test Access Ports (TAPs); a user TAP and an EDA tool TAP, to provide instructions and test data to the SOC. The system includes a glue logic block, a secured logic block and a memory testing module. The glue logic block selects the user TAP at the outset of the testing phase. The secured logic block is coupled with the user TAP and generates a TAP selection signal, which controls the selection of the EDA tool TAP. The memory testing module is used to carry out the process of testing the memory blocks when the EDA tool TAP is selected.

Abstract: A system and method for testing a plurality of memory blocks in a System on Chip (SOC) design uses two Test Access Ports (TAPs), a user TAP and an EDA tool TAP, to provide instructions and test data to the SOC. The system includes a glue logic block, a secured logic block and a memory testing module. The glue logic block selects the user TAP at the outset of the testing phase. The secured logic block is coupled with the user TAP and generates a TAP selection signal, which controls the selection of the EDA tool TAP. The memory testing module is used to carry out the process of testing the memory blocks when the EDA tool TAP is selected.