Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media to autonomous driving vehicles and, in particular, for tracking objects in an environment that an autonomous vehicle (AV) is navigating. A method includes receiving environment data from at least one sensor in an AV control system mounted to the AV, the environment data including online tracking data that identifies at least one object within the environment data that is recorded at drive time; annotating the at least one object from the environment data that are incorrectly identified by the AV control system; executing an offline tracking engine to generate offline tracking data that tracks the objects over time in the environment data; and identifying safety gaps between the online tracking data and the offline tracking data.

Abstract: An aerial device includes a body, an optical system having gimbal supporting a camera, a lift mechanism coupled to the body, a haptic sensor coupled to the body and configured to generate haptic data, and a processing system disposed in the body and in data communication with the haptic sensor. The processing system is configured to process the haptic data to understand an intended position of the aerial device and/or an intended orientation of the gimbal and convert the intended position to a target position of the aerial device and/or the intended orientation to a target orientation of the gimbal utilizing said processed data irrespective of an initial position of said aerial device and an initial orientation of said gimbal. Also disclosed is a method for controlling the aerial device.

Abstract: Disclosed are an earphone and an earphone control method. The earphone includes a shell, a speaker, a feedback microphone, a transparency filter and a fixed filter. The shell is provided with a sound chamber. The speaker is provided in the sound chamber. The feedback microphone is provided in the sound chamber. The transparency filter is provided in the shell, an input end of the transparency filter is connected to an output end of the feedback microphone, and an output end of the transparency filter is connected to an input end of the speaker. The fixed filter is provided in the shell, an input end of the fixed filter is connected to the input end of the speaker, and an output end of the fixed filter is connected to the input of the transparency filter.

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media to autonomous driving vehicles and, in particular, for tracking objects in an environment that an autonomous vehicle (AV) is navigating. A method includes receiving environment data from at least one sensor in an AV control system mounted to the AV, the environment data including online tracking data that identifies at least one object within the environment data that is recorded at drive time; annotating the at least one object from the environment data that are incorrectly identified by the AV control system; executing an offline tracking engine to generate offline tracking data that tracks the objects over time in the environment data; and identifying safety gaps between the online tracking data and the offline tracking data.

Abstract: The disclosed technology provides solutions for improving perception systems and in particular for improving kinematics models used to estimate motion characteristics of objects in an autonomous vehicle (AV) environment. A process of the disclosed technology can include steps for analyzing sensor data of a subject vehicle to identify a remote vehicle represented by the sensor data, estimating, using a kinematics model, predicted kinematic characteristics of the remote vehicle, and determining, based on data associated with the remote vehicle, ground-truth kinematic characteristics of the remote vehicle. In some aspects, the process can further include steps for validating the predicted kinematic characteristics of the remote vehicle using the ground-truth kinematic characteristics of the remote vehicle. Systems and machine-readable media are also provided.

Abstract: A simulation method of specifying a relative position between a first base of a first robot manipulator and a second base of a second robot manipulator, including: determining a first working area of the first robot manipulator, wherein the first working area determines a finite plurality of tuples from possible positions of the first end effector and possible orientations of the first end effector in respective positions of the first end effector; determining, for each of a specified plurality of possible relative positions between the first base and the second base, a number of the tuples from the first working area as evaluation variables, for which a second end effector is capable of being positioned in a predefined orientation and/or at a predefined distance relative to the first end effector; and determining and outputting the relative position between the first base and the second base with a highest evaluation variable.

Abstract: System and method of learning and executing mutually coordinated paths of robot manipulators, including: manually guiding a first reference point of a first robot manipulator over a desired first path, acquiring the first path or acquiring a first set of poses for the first path and storing the first path or the first set of poses in a first data set, automatically traveling along the first path according to the first data set, while automatically traveling along the first path, manually guiding a second reference point of a second robot manipulator over a desired second path, acquiring the second path or acquiring a second set of poses for the second path and storing the second path or the second set of poses in a second data set, wherein the second data set is assigned to the first data set so that a location of the first path is at least approximately assigned to each location of the second path, and traveling along the first path by the first robot manipulator according to the first data set synchronized

Abstract: A frame assembly for an aerial system including a fuselage body and first and second rotor assemblies is described herein. The first and second rotor assemblies are coupled to the fuselage body by respective positioning assemblies. Each positioning assembly including a hinge assembly to enable the first and second rotor assemblies to pivot between a deployed position and a stowed position. A first positioning assembly including tapered positioning shaft. A second positioning assembly including a positioning sleeve having a tapered inner surface defining a cavity that is configure to receive the positioning shaft therein. The first positioning assembly being coupled to the second positioning assembly such that the first positioning assembly is rotatable about the rotor assembly rotational axis independent of the second rotor assembly.

Abstract: A mobile robot including a mobile base element and at least one multi-jointed manipulator, wherein the robot includes several telemedical devices. The invention also relates to a robot for performing a movement sequence together with a limb of a human with the help of a manipulator.

Abstract: An aerial device includes a body, an optical system having gimbal supporting a camera, a lift mechanism coupled to the body, a haptic sensor coupled to the body and configured to generate haptic data, and a processing system disposed in the body and in data communication with the haptic sensor. The processing system is configured to process the haptic data to understand an intended position of the aerial device and/or an intended orientation of the gimbal and convert the intended position to a target position of the aerial device and/or the intended orientation to a target orientation of the gimbal utilizing said processed data irrespective of an initial position of said aerial device and an initial orientation of said gimbal. Also disclosed is a method for controlling the aerial device.

Abstract: An aerial device includes a body, an optical system having gimbal supporting a camera, a lift mechanism coupled to the body, a haptic sensor coupled to the body and configured to generate haptic data, and a processing system disposed in the body and in data communication with the haptic sensor. The processing system is configured to process the haptic data to understand an intended position of the aerial device and/or an intended orientation of the gimbal and convert the intended position to a target position of the aerial device and/or the intended orientation to a target orientation of the gimbal utilizing said processed data irrespective of an initial position of said aerial device and an initial orientation of said gimbal. Also disclosed is a method for controlling the aerial device.

Abstract: A frame assembly for an aerial system includes a body and first and second rotor assemblies. The first and second rotor assemblies are coupled to the body by respective hinges. The first and second rotor assemblies are movable between a deployed position and a stowed position. Each rotor assembly includes a shaft assembly coupled to the hinge at one end and having a rotor assembly mounted to an opposite end. A rotary actuator is coupled between the rotor assembly and the shaft assembly and is configured to controllably rotate the rotor assembly relative to the shaft assembly.

Abstract: An aerial system, preferably including one or more proximity sensors, such as sensors arranged in opposing directions. A method for aerial system operation, preferably including: determining a set of sensors; sampling measurements at the set of sensors; localizing the aerial system based on the measurements, such as to determine one or more obstacle clearances; and controlling system flight, such as based on the clearances.

Abstract: An embodiment of the present application discloses a method and a device for processing smart contracts. The processing method includes: executing the smart contract to be invoked based on a class file corresponding to the smart contract. And the class file is pre-compiled based on program logic of the smart contract to be invoked. By implementing the technical scheme of embodiments of the present application, the smart contract can be directly developed based on a Java language, and no additional compiler or interpreter are required. In addition, all functions of the Java language are basically retained, and the technical scheme of the present application is easy to be accessed and used.

Abstract: A frame assembly for an aerial system includes a body and first and second rotor assemblies. The first and second rotor assemblies are coupled to the body by respective hinges. The first and second rotor assemblies are movable between a deployed position and a stowed position. Each rotor assembly includes a shaft assembly coupled to the hinge at one end and having a rotor assembly mounted to an opposite end. A rotary actuator is coupled between the rotor assembly and the shaft assembly and is configured to controllably rotate the rotor assembly relative to the shaft assembly.

Abstract: A frame assembly for an aerial system including a fuselage body and first and second rotor assemblies is described herein. The first and second rotor assemblies are coupled to the fuselage body by respective positioning assemblies. Each positioning assembly including a hinge assembly to enable the first and second rotor assemblies to pivot between a deployed position and a stowed position. A first positioning assembly including tapered positioning shaft. A second positioning assembly including a positioning sleeve having a tapered inner surface defining a cavity that is configure to receive the positioning shaft therein. The first positioning assembly being coupled to the second positioning assembly such that the first positioning assembly is rotatable about the rotor assembly rotational axis independent of the second rotor assembly.

Abstract: An aerial system, preferably including one or more proximity sensors, such as sensors arranged in opposing directions. A method for aerial system operation, preferably including: determining a set of sensors; sampling measurements at the set of sensors; localizing the aerial system based on the measurements, such as to determine one or more obstacle clearances; and controlling system flight, such as based on the clearances.

Abstract: An aerial device includes a body, an optical system having gimbal supporting a camera, a lift mechanism coupled to the body, a haptic sensor coupled to the body and configured to generate haptic data, and a processing system disposed in the body and in data communication with the haptic sensor. The processing system is configured to process the haptic data to understand an intended position of the aerial device and/or an intended orientation of the gimbal and convert the intended position to a target position of the aerial device and/or the intended orientation to a target orientation of the gimbal utilizing said processed data irrespective of an initial position of said aerial device and an initial orientation of said gimbal. Also disclosed is a method for controlling the aerial device.

Abstract: An aerial system, preferably including one or more proximity sensors, such as sensors arranged in opposing directions. A method for aerial system operation, preferably including: determining a set of sensors; sampling measurements at the set of sensors; localizing the aerial system based on the measurements, such as to determine one or more obstacle clearances; and controlling system flight, such as based on the clearances.

Abstract: An aerial device includes a body, an optical system having gimbal supporting a camera, a lift mechanism coupled to the body, a haptic sensor coupled to the body and configured to generate haptic data, and a processing system disposed in the body and in data communication with the haptic sensor. The processing system is configured to process the haptic data to understand an intended position of the aerial device and/or an intended orientation of the gimbal and convert the intended position to a target position of the aerial device and/or the intended orientation to a target orientation of the gimbal utilizing said processed data irrespective of an initial position of said aerial device and an initial orientation of said gimbal. Also disclosed is a method for controlling the aerial device.