Abstract: An iridium-based catalyst and method of making the catalyst are described. The catalyst comprises a catalytic material comprising iridium oxide or a mixture of iridium and iridium oxide nanoplates. It may have a BET surface area of at least 50 m2/g and a pore volume of at least 0.10 cc/g. The nanoplates are less than 50 nm thick. The catalyst is made using organic and inorganic structure directing agents.

Abstract: A wireless charging case for a headset, which case comprises a housing, a charging receiver coil and a rechargeable battery. The rechargeable battery comprises a first battery side extending between a first edge and a second opposite edge and facing the charging receiver coil, a second battery side lying extending from the first edge and a third battery side extending from the second edge. A magnetic shield sheet is arranged between the charging receiver coil and the first battery side. Parts of the second battery side and third battery side are covered by magnetic shield sheet.

Abstract: An autonomous cleaning robot (e.g., an autonomous vacuum) may clean an environment using a cleaning head that is self-actuated. The cleaning head includes an actuator assembly comprising an actuator configured to control rotation and vertical movement of a cleaning roller, a controller, and a cleaning roller having an elongated cylindrical length connected to the actuator assembly. The cleaning head also includes a computer processor connected to the actuator assembly and a non-transitory computer-readable storage medium that causes the computer processor to map the environment based on sensor data captured by the autonomous vacuum. The computer processor may determine an optimal height for the cleaning head based on the map and instruct the actuator assembly to adjust the height of the cleaning head.

Abstract: An autonomous cleaning robot (e.g., an autonomous vacuum) may use a sensor system to map an environment that may be used to determine where to clean. The autonomous vacuum receives visual data about the environment and determines a ground plane of the environment based on the visual data. The autonomous vacuum detects objects within the environment based on the ground plane. For each object, the autonomous vacuum segments a three-dimensional (3D) representation of the object out of the visual data and determines whether the object is static or dynamic. The autonomous vacuum adds static objects to a long-term level of a map of the environment and dynamic objects to an intermediate level of the map. The autonomous vacuum may further add virtual borders, flags, walls, and messes to the map.

Abstract: A two stage compression sub-system for clear channel data. The front stage of the compressing sub-system is an octet based repeat compressor (for example a flag compressor). The second stage is dictionary based compressor (for example Lempel-Ziv (LZ) or Huffmann). Data is compressed using several different techniques, and the technique that provides the best compression is used for each particular packet. For example, each packet can be: a) compress through both compression stages. b) compress through front stage flag compressor only c) compress through back stage dictionary compressor only d) not compressed through either stage (for highly incompressible data) After compression, each packet is provided with a header which specifies the exact method used to compress that packet. At the decoder, the packet header is interrogated to determine how the packet should be de-compressed and the appropriate de-compression is then used.

Abstract: A two stage compression sub-system for clear channel data. The front stage of the compressing sub-system is an octet based repeat compressor (for example a flag compressor). The second stage is dictionary based compressor (for example Lempel-Ziv (LZ) or Huffmann). Data is compressed using several different techniques, and the technique that provides the best compression is used for each particular packet. For example, each packet can be: a) compress through both compression stages. b) compress through front stage flag compressor only c) compress through back stage dictionary compressor only d) not compressed through either stage (for highly incompressible data) After compression, each packet is provided with a header which specifies the exact method used to compress that packet. At the decoder, the packet header is interrogated to determine how the packet should be de-compressed and the appropriate de-compression is then used.

Abstract: A two stage compression sub-system for clear channel data. The front stage of the compressing sub-system is an octet based repeat compressor (for example a flag compressor). The second stage is dictionary based compressor (for example Lempel-Ziv (LZ) or Huffmann). Data is compressed using several different techniques, and the technique that provides the best compression is used for each particular packet. For example, each packet can be: a) compress through both compression stages. b) compress through front stage flag compressor only c) compress through back stage dictionary compressor only d) not compressed through either stage (for highly incompressible data) After compression, each packet is provided with a header which specifies the exact method used to compress that packet. At the decoder, the packet header is interrogated to determine how the packet should be de-compressed and the appropriate de-compression is then used.

Abstract: A two stage compression sub-system for clear channel data. The front stage of the compressing sub-system is an octet based repeat compressor (for example a flag compressor). The second stage is dictionary based compressor (for example Lempel-Ziv (LZ) or Huffmann). Data is compressed using several different techniques, and the technique that provides the best compression is used for each particular packet.