Abstract: A substrate processing apparatus including a frame, a first SCARA arm connected to the frame, including an end effector, configured to extend and retract along a first radial axis; a second SCARA arm connected to the frame, including an end effector, configured to extend and retract along a second radial axis, the SCARA arms having a common shoulder axis of rotation; and a drive section coupled to the SCARA arms is configured to independently extend each SCARA arm along a respective radial axis and rotate each SCARA arm about the common shoulder axis of rotation where the first radial axis is angled relative to the second radial axis and the end effector of a respective arm is aligned with a respective radial axis, wherein each end effector is configured to hold at least one substrate and the end effectors are located on a common transfer plane.

Abstract: Systems and methods for recovering unmanned aircraft and controlling post-recovery motion of the aircraft are disclosed herein. An aircraft recovery system for handling an unmanned aircraft in accordance with one embodiment of the disclosure includes a base portion and an elongated aircraft capture member having a first end movably coupled to the base portion and a second, free end opposite the first end. The aircraft capture member includes a first portion and a second portion at a distal end of the first portion and positioned to intercept an unmanned aircraft in flight. The first and/or second portions are generally flexible. The system further includes an energy capture and dissipation assembly operably coupled to the aircraft capture member and positioned to receive at least a portion of the landing forces from the aircraft.

Abstract: Systems and methods for recovering unmanned aircraft and controlling post-recovery motion of the aircraft are disclosed herein. An aircraft recovery system for handling an unmanned aircraft in accordance with one embodiment of the disclosure includes a base portion and an elongated aircraft capture member having a first end movably coupled to the base portion and a second, free end opposite the first end. The aircraft capture member includes a first portion and a second portion at a distal end of the first portion and positioned to intercept an unmanned aircraft in flight. The first and/or second portions are generally flexible. The system further includes an energy capture and dissipation assembly operably coupled to the aircraft capture member and positioned to receive at least a portion of the landing forces from the aircraft.

Abstract: Systems and methods for recovering unmanned aircraft and controlling post-recovery motion of the aircraft are disclosed herein. An aircraft recovery system for handling an unmanned aircraft in accordance with one embodiment of the disclosure includes a base portion and an elongated aircraft capture member having a first end movably coupled to the base portion and a second, free end opposite the first end. The aircraft capture member includes a first portion and a second portion at a distal end of the first portion and positioned to intercept an unmanned aircraft in flight. The first and/or second portions are generally flexible. The system further includes an energy capture and dissipation assembly operably coupled to the aircraft capture member and positioned to receive at least a portion of the landing forces from the aircraft.

Abstract: An adaptive pattern recognition system optimizes an invariance objective and an input fidelity objective to accurately recognize input patterns in the presence of arbitrary input transformations. A fixed state or value of a feature output can nonlinearly reconstruct or generate multiple spatially distant input patterns and respond similarly to multiple spatially distant input patterns, while preserving the ability to efficiently evaluate the input fidelity objective. Exemplary networks, including a novel factorization of a third-order Boltzmann machine, exhibit multilayered, unsupervised learning of arbitrary transformations, and learn rich, complex features even in the absence of labeled data. These features are then used to classify unknown input patterns, to perform dimensionality reduction or compression.

Abstract: Systems and methods for recovering unmanned aircraft and controlling post-recovery motion of the aircraft are disclosed herein. An aircraft recovery system for handling an unmanned aircraft in accordance with one embodiment of the disclosure includes a base portion and an elongated aircraft capture member having a first end movably coupled to the base portion and a second, free end opposite the first end. The aircraft capture member includes a first portion and a second portion at a distal end of the first portion and positioned to intercept an unmanned aircraft in flight. The first and/or second portions are generally flexible. The system further includes an energy capture and dissipation assembly operably coupled to the aircraft capture member and positioned to receive at least a portion of the landing forces from the aircraft.

Abstract: An HTM node learns a plurality of groups of sensed input patterns over time based on the frequency of temporal adjacency of the input patterns. An HTM node receives a new sensed input, the HTM node assigns probabilities as to the likelihood that the new sensed input matches each of the plurality of learned groups. The HTM node then combines this probability distribution (may be normalized) with previous state information to assign probabilities as to the likelihood that the new sensed input is part of each of the learned groups of the HTM node. Then, as described above, the distribution over the set of groups learned by the HTM node is passed to a higher level node. This process is repeated at higher level nodes to infer a cause of the newly sensed input.

Abstract: A patcher system for patching a paved surface includes a remotely controllable arm attachable to a vehicle and a patching material dispensing subsystem disposed on the remotely controllable arm. The patcher system may be part of a mobile patcher system which additionally includes a vehicle, a patching material distribution subsystem disposed on the vehicle, and a control subsystem. A software product may include instructions that, when executed by a computer, perform steps for controlling the patcher system.

Abstract: A patcher system for patching a paved surface includes a remotely controllable arm attachable to a vehicle and a patching material dispensing subsystem disposed on the remotely controllable arm. The patcher system may be part of a mobile patcher system which additionally includes a vehicle, a patching material distribution subsystem disposed on the vehicle, and a control subsystem. A software product may include instructions that, when executed by a computer, perform steps for controlling the patcher system.

Abstract: A patcher system for patching a paved surface includes a remotely controllable arm attachable to a vehicle and a patching material dispensing subsystem disposed on the remotely controllable arm. The patcher system may be part of a mobile patcher system which additionally includes a vehicle, a patching material distribution subsystem disposed on the vehicle, and a control subsystem. A software product may include instructions that, when executed by a computer, perform steps for controlling the patcher system.

Abstract: An HTM node learns a plurality of groups of sensed input patterns over time based on the frequency of temporal adjacency of the input patterns. An HTM node receives a new sensed input, the HTM node assigns probabilities as to the likelihood that the new sensed input matches each of the plurality of learned groups. The HTM node then combines this probability distribution (may be normalized) with previous state information to assign probabilities as to the likelihood that the new sensed input is part of each of the learned groups of the HTM node. Then, as described above, the distribution over the set of groups learned by the HTM node is passed to a higher level node. This process is repeated at higher level nodes to infer a cause of the newly sensed input.

Abstract: A patcher system for patching a paved surface includes a remotely controllable arm attachable to a vehicle and a patching material dispensing subsystem disposed on the remotely controllable arm. The patcher system may be part of a mobile patcher system which additionally includes a vehicle, a patching material distribution subsystem disposed on the vehicle, and a control subsystem. A software product may include instructions that, when executed by a computer, perform steps for controlling the patcher system.