Abstract: A thermionic energy conversion system, preferably including one or more electron collectors, interfacial layers, encapsulation, and/or electron emitters. A method for manufacturing the thermionic energy conversion system. A method of operation for a thermionic energy conversion system, preferably including receiving power, emitting electrons, and receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A thermionic energy conversion system, preferably including one or more electron collectors, interfacial layers, encapsulation, and/or electron emitters. A method for manufacturing the thermionic energy conversion system. A method of operation for a thermionic energy conversion system, preferably including receiving power, emitting electrons, and receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A thermionic energy conversion system, preferably including one or more electron collectors, interfacial layers, encapsulation, and/or electron emitters. A method for manufacturing the thermionic energy conversion system. A method of operation for a thermionic energy conversion system, preferably including receiving power, emitting electrons, and receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A method for evaluating a traffic scene with several road users includes (i) providing input data which results from recording of the traffic scene and which specifies the road users and associated features, the features being based at least in part on current and past states of the road users, (ii) providing a representation of the road users and their relationships to each other in the traffic scene and an infrastructure of the traffic scene, wherein the relationships are specified based on the features, wherein the infrastructure is represented by a parameterized representation, wherein the representation comprises a plurality of nodes of a graph representing the respective road users, and wherein the representation comprises a plurality of edges of the graph explicitly specifying the relationships of the road users to each other, (iii) predicting a future development of the traffic scene, wherein the prediction is performed taking into account the current and past states of the road users, wherein a behav

Abstract: A burner system, preferably including input plumbing, a combustion region, and an exhaust section. In some embodiments, the burner system can include, be attached to, be configured to couple with, and/or be otherwise associated with a thermionic energy converter (TEC). A method of burner system operation, preferably including operating the burner system in a combustion mode and optionally including operating a TEC.

Abstract: A burner system, preferably including input plumbing, a combustion region, and an exhaust section. In some embodiments, the burner system can include, be attached to, be configured to couple with, and/or be otherwise associated with a thermionic energy converter (TEC). A method of burner system operation, preferably including operating the burner system in a combustion mode and optionally including operating a TEC.

Abstract: A system and method are provided for training an autoencoder on training data to obtain a generative model for synthesizing new data. During the training, an affine transformation is applied to the output of the encoder to obtain representations of the training data instances in the latent space. Furthermore, a mean and covariance of the representations of the training data instances in the latent space is determined, and parameters of the affine transformation are updated to shift the mean and covariance of the representations of the training data instances towards a target mean and a target covariance. The decoder of the trained autoencoder may be used as generative model, for example to synthesize input data to a test or simulation of a system, device, or machine, or to synthesize training data for the training of a(nother) machine learnable model.

Abstract: A thermionic energy conversion system, preferably including one or more electron collectors, interfacial layers, encapsulation, and/or electron emitters. A method for manufacturing the thermionic energy conversion system. A method of operation for a thermionic energy conversion system, preferably including receiving power, emitting electrons, and receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A method for controlling a robot. The method includes receiving an indication of a target configuration to be reached from an initial configuration of the robot, determining a coarse-scale value map by value iteration, starting from an initial coarse-scale state and until the robot reaches the target configuration or a maximum number of fine-scale states has been reached, determining a fine-scale sub-goal from the coarse-scale value map, performing, by an actuator of the robot, fine-scale control actions to reach the determined fine-scale sub-goal and obtaining sensor data to determine the fine-scale states reached, starting from a current fine-scale state of the robot and until the robot reaches the determined fine-scale sub-goal, the robot transitions to a different coarse-scale state, or a maximum sequence length of the sequence of fine-scale states has been reached and determining the next coarse-scale state.

Abstract: A method for selecting a driving maneuver to be carried out by an at least semi-autonomously driving vehicle is disclosed. The method includes (i) using measurement data of at least one sensor carried by the vehicle, creating a representation of the situation the vehicle is in, (ii) mapping the representation of the situation to a probability distribution by way of a trained machine learning model, which probability distribution specifies a probability for every driving maneuver from a predefined catalog of available driving maneuvers, with which said driving maneuver is carried out, (iii) selecting a driving maneuver from the probability distribution as the driving maneuver to be carried out, (iv) in addition to using at least one aspect of the situation the vehicle is in, a subset of driving maneuvers which are disallowed in this situation is determined, and (v) this disallowed driving maneuver is prevented from being carried out.

Abstract: A burner system, preferably including input plumbing, a combustion region, and an exhaust section. In some embodiments, the burner system can include, be attached to, be configured to couple with, and/or be otherwise associated with a thermionic energy converter (TEC). A method of burner system operation, preferably including operating the burner system in a combustion mode and optionally including operating a TEC.

Abstract: A system for thermionic energy generation, preferably including one or more thermionic energy converters, and optionally including one or more power inputs, airflow modules, and/or electrical loads. A thermionic energy converter, preferably including an emitter module, a collector module, and/or a seal, and optionally including a spacer. The thermionic energy converter preferably defines a chamber and/or a heating cavity. A method for thermionic energy generation, preferably including receiving power, emitting electrons, and/or receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A system for thermionic energy generation, preferably including one or more thermionic energy converters, and optionally including one or more power inputs, airflow modules, and/or electrical loads. A thermionic energy converter, preferably including an emitter module, a collector module, and/or a seal, and optionally including a spacer. The thermionic energy converter preferably defines a chamber and/or a heating cavity. A method for thermionic energy generation, preferably including receiving power, emitting electrons, and/or receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A method for controlling an agent. The method includes training a neural network using training data that contain, for a multiplicity of agents, examples of a behavior of the agents, the output of the neural network including a prediction of a behavior and being a function of network parameters that are trained in common for all training data, and being a function of a further parameter that is trained individually for each of the agents of the multiplicity of agents; fitting of a probability distribution to the values of the further parameter for the agents that result from the training; sampling a value from the probability distribution for a further agent in the environment of the agent; and controlling the agent, taking into account a prediction of the behavior of the further agent that the neural network outputs for the sampled value for the further agent.

Abstract: A method for controlling an agent. The method includes obtaining numerical values of a first and second set of state variables, which together represent a current full state of the agent, and the numerical values of the first set of state variables represent a current partial state of the robot; determining a state value prior comprising, for potential subsequent partial states following the current partial state, an evaluation of the subsequent partial states in terms of achieving a goal to be attained by the agent; supplying an input comprising a local crop of the state value prior and the numerical values of the second set of state variables representing, together with the numerical values of the first set of state variables, the current full state to a neural network configured to output an evaluation of control actions and controlling the agent in accordance with control signals.

Abstract: A system for thermionic energy generation, preferably including one or more thermionic energy converters, and optionally including one or more power inputs, airflow modules, and/or electrical loads. A thermionic energy converter, preferably including an emitter module, a collector module, and/or a seal, and optionally including a spacer. The thermionic energy converter preferably defines a chamber and/or a heating cavity. A method for thermionic energy generation, preferably including receiving power, emitting electrons, and/or receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A computer-implemented method and device for activating a technical unit. The device includes an input for input data from at least one sensor, an output for activating the technical unit using an activation signal, and a computing device which activates the technical unit as a function of the input data. A state of at least one part of the technical unit or of surroundings is determined as a function of input data. At least one action is determined as a function of the state and of a strategy for the technical unit. Technical unit being activated to carry out the at least one action. The strategy, represented by an artificial neural network, is learned with a reinforcement learning algorithm in interaction with the technical unit or with the surroundings as a function of the at least one feedback signal. The feedback signal is determined as a function of a target-setting.

Abstract: A thermionic energy conversion system, preferably including one or more electron collectors, interfacial layers, encapsulation, and/or electron emitters. A method for manufacturing the thermionic energy conversion system. A method of operation for a thermionic energy conversion system, preferably including receiving power, emitting electrons, and receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A thermionic energy conversion system, preferably including one or more electron collectors, interfacial layers, encapsulation, and/or electron emitters. A method for manufacturing the thermionic energy conversion system. A method of operation for a thermionic energy conversion system, preferably including receiving power, emitting electrons, and receiving the emitted electrons, and optionally including convectively transferring heat.

Abstract: A thermionic energy conversion system, preferably including one or more electron collectors, interfacial layers, encapsulation, and/or electron emitters. A method for manufacturing the thermionic energy conversion system. A method of operation for a thermionic energy conversion system, preferably including receiving power, emitting electrons, and receiving the emitted electrons, and optionally including convectively transferring heat.