Disclosed is a transporting robot which executes a mounted artificial intelligence (AI) algorithm and/or machine learning algorithm and communicates with different electronic devices and external servers in a 5G communication environment. The transporting robot includes a wheel driver, a loading box, and a robot controller. The transporting robot is provided such that a transporting service using an autonomous robot may be provided.

There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

An embodiment includes a method of determining a collision-free space for a robotic welding system. The method includes fixing a location of a part to be welded in a 3D coordinate space of a robotic welding system. An arm of the robotic welding system is moved around the part within the 3D coordinate space. Data corresponding to positions and orientations of the arm in the 3D coordinate space are recorded as the arm is moved within the 3D coordinate space around the part. The data is translated to swept volumes of data within the 3D coordinate space. The swept volumes of data are merged to generate 3D geometry data representing a continuous collision-free space within the 3D coordinate space.

A smart container yard includes systems for intelligently controlling operations of vehicles in the container yard using teleoperation and/or autonomous operations. A remote support server controls remote support sessions associated with vehicles in the container yard to provide teleoperation support for loading and unloading operations. Aerial drones may be utilized to maintain positions above a teleoperated vehicle and act as signal re-transmitters. An augmented reality view may be provided at a teleoperator workstation to enable a teleoperator to control vehicle operations in the smart container yard.

A computing device stores a kinematic model of a robot comprising an articulated arm and a tool coupled to the arm. The kinematic model comprises a plurality of active joints corresponding to a plurality of actuated joints of the articulated arm, and one or more passive joint. For each passive joint, a nominal joint position and a corresponding tolerance margin is defined, for simulating a tolerance margin applicable to a nominal position and orientation of the tool with respect to an object processed by the tool. The computing device determines a 3D model of the object, determines a toolpath of the tool for performing a task on the object and calculates a trajectory of the articulated arm based on the toolpath, the kinematic model and the 3D model of the object. The calculation takes into account the nominal joint position and the tolerance margin of each passive joint.

A robot controller includes: axis motor control units that control motors for driving axes of a robot; and an action command generation unit that generates a first action command having the shortest action time when the robot is moved from an action start point to an action goal point without considering an obstacle, and selects, from among the axes, a major axis having the longest action time when the action is performed in accordance with the first action command. The first action command includes another axis command, and a major axis command, and the action command generation unit adjusts the other axis command so as to reduce an action time according to the other axis command and outputs a second action command including the major axis command and the adjusted other axis command and corresponding to a first trajectory when determining that the first trajectory avoids a clash between the robot and the obstacle.

A method for projecting safety-related monitoring for a multi-axis kinematic system with multiple movable segments. The method includes assigning multiple respective segment kinematic zones to in each case one or more segments of the multi-axis kinematic system, wherein the respective segment kinematic zones are formed by segment bounding volumes in dependence on the respective segments, providing respective movements of the respective segments in the Cartesian space, ascertaining for each segment spatial elements to be passed through as a result of the respective movements provided, determining for each segment respective overall bounding volumes as respective segment working zones on the basis of the ascertained spatial elements to be passed through, and providing the respective segment working zones for the projecting of a safety function of the safety-related monitoring.

A method and apparatus for determining a trajectory of a robot's end effector are disclosed. In an embodiment, the apparatus includes a force obtaining device to obtain a collision force of the end effector of the robot, caused by a collision of the end effector upon the collision being detected; and a trajectory determining device to determine a second trajectory of the end effector based on the collision force of the end effector obtained, and based on a recorded first trajectory of the end effector. The recorded first trajectory is a trajectory recorded before the collision, and the second trajectory is a trajectory determined after the collision. As such, an efficient protection for the robot and its working environment at the moment of collision may be achieved.

A robot and an operation method thereof are disclosed. A robot may include a loading box provided to load goods, and to be movable at a certain distance with respect to the robot when closed and opened, a drive wheel configured to drive the robot, an auxiliary wheel provided at a position spaced apart from the drive wheel, and a variable supporter configured to change the position of the auxiliary wheel, and supporting the loading box, and the variable supporter may move the auxiliary wheel so as to correspond to the movement direction of the center of gravity of the robot. The robot may transmit and receive a wireless signal on the mobile communication network constructed according to a 5 Generation (G) communication.

An object handling control device includes one or more processors configured to acquire at least object information and status information representing an initial position and a destination of an object; set, when a grasper grasping the object moves from the initial position to the destination, a first region, a second region, and a third region in accordance with the object information and the status information; and calculate a moving route along which the object is moved from the initial position to the destination with reference to the first region, the second region, and the third region.