Patent classifications
G05B2219/39001
METHOD OF ROBOTIC SYSTEM DYNAMIC VELOCITY MODIFICATION
A method and system for robotic motion planning which perform dynamic velocity attenuation to avoid robot collision with static or dynamic objects. The technique maintains the planned robot tool path even when speed reduction is necessary, by providing feedback of a computed slowdown ratio to a tracking controller so that the path computation is always synchronized with current robot speed. The technique uses both robot-obstacle distance and relative velocity to determine when to apply velocity attenuation, and computes a joint speed limit vector based on a robot-obstacle distance, a maximum obstacle speed, and a computed stopping time as a function of the joint speed. Two different control structure implementations are disclosed, both of which provide feedback of the slowdown ratio to the motion planner as needed for faithful path following. A method of establishing velocity attenuation priority in multi-robot systems is also provided.
Manipulating fracturable and deformable materials using articulated manipulators
In an embodiment, a method and system use various sensors to determine a shape of a collection of materials (e.g., foodstuffs). A controller can determine a trajectory which achieves the desired end-state, possibly chosen from a set of feasible, collision-free trajectories to execute, and a robot executes that trajectory. The robot, executing that trajectory, scoops, grabs, or otherwise acquires the desired amount of material from the collection of materials at a desired location. The robot then deposits the collected material in the desired receptacle at a specific location and orientation.
SYSTEM AND METHOD FOR ONTOLOGY GUIDED INDOOR SCENE UNDERSTANDING FOR COGNITIVE ROBOTIC TASKS
Existing cognitive robotic applications follow a practice of building specific applications for specific use cases. However, the knowledge of the world and the semantics are common for a robot for multiple tasks. In this disclosure, to enable usage of knowledge across multiple scenarios, a method and system for ontology guided indoor scene understanding for cognitive robotic tasks is described where in scenes are processed based on techniques filtered based on querying ontology with relevant objects in perceived scene to generate a semantically rich scene graph. Herein, an initially manually created ontology is updated and refined in online fashion using external knowledge-base, human robot interaction and perceived information. This knowledge helps in semantic navigation, aids in speech, and text based human robot interactions.
SUBSTRATE PROCESSING APPARATUS AND PROCESS CONTROL METHOD THEREOF
A process control method of a substrate processing apparatus includes monitoring a process status of each process chamber of a plurality of process chambers, determining a shift-to-idle process chamber to be shifted from a process state to an idle state among the plurality of process chambers, storing a first to-be-processed substrate in a storage, associated with the shift-to-idle process chamber, among a plurality of storages provided in a transfer chamber, and transferring the first to-be-processed substrate stored in the storage to the shift-to-idle process chamber in accordance with a shift to the idle state of the shift-to-idle process chamber.
ROBOT CONTROL DEVICE, METHOD, AND PROGRAM
A robot control device (10) includes an attribute determination unit (71) that determines an attribute of an object person (T) around a robot (1); and a decision unit (74) that decides a notification action of notifying, by the robot (1), the object person (T) of presence of the robot (1), on the basis of the attribute determined by the attribute determination unit (71) and a risk of harm that may be caused to the object person (T) by the robot (1).
AUTOMATED O-RING PROCESSING STATIONS AND RELATED METHODS
A method of processing O-rings in an automated mass production system includes: (a) advancing an O-ring retainer toward a loading position in alignment with an output end of a feed device; (b) discharging a leading O-ring from the output end in electronic synchronization with advancement of the O-ring retainer to the loading position to initiate loading of the O-ring into the retainer prior to the retainer arriving at the loading position; (c) after loading the O-ring into the retainer, advancing the retainer away from the loading position toward an unloading position; and (d) moving an end effector in electronic synchronization with advancement of the retainer to the unloading position to synchronize arrival of the retainer at the unloading position with arrival of the end effector at a pick-up position in alignment with the O-ring at the unloading position for pick up of the O-ring by the end effector.
DEVICE AND METHOD FOR TRAINING A NEURAL NETWORK FOR CONTROLLING A ROBOT FOR AN INSERTING TASK
A method for training a neural network to derive, from an image of a camera mounted on a robot, a movement vector for the robot to insert an object into an insertion. The method includes controlling the robot to hold the object, bringing the robot into a target position in which the object is inserted in the insertion, for a plurality of positions different from the target position controlling the robot to move away from the target position to the position, taking a camera image by the camera and labelling the camera image by a movement vector to move back from the position to the target position and training the neural network using the labelled camera images.
DEVICE AND METHOD FOR TRAINING A NEURAL NETWORK FOR CONTROLLING A ROBOT FOR AN INSERTING TASK
A method for training a neural network to derive, from an image of a camera mounted on a robot, a movement vector to insert an object into an insertion. The method includes, for a plurality of positions in which the object held by the robot touches a plane in which the insertion is located controlling the robot to move to the position, taking a camera image by the camera and labelling the camera image with a movement vector between the position and the insertion in the plane and training the neural network using the labelled camera images.
METHOD AND SYSTEM FOR FACILITATING A CONCURRENT SIMULATION OF MULTIPLE ROBOTIC TASKS
Systems and a method for facilitating a concurrent simulation of multiple tasks of a plurality of robots in a virtual environment, wherein at least one virtual robot is foreseen to concurrently simulate one robotic motion task and a set of robotic logic tasks by concurrently executing one corresponding robotic motion program and a set of corresponding robotic logic programs on a set of operands. During a concurrent execution of the plurality of robotic motion programs and the plurality of sets of robotic logic programs of the plurality of robots, the execution of at least one given logic program is suspended and resumed by repetitively: executing a run of the given logic program; collecting a subset of operands used in the executed run; if none of the collected operands is modified in the execution run, suspending the execution of the given logic program and resuming its execution when one of the collected operands is modified.
Device and method for automated assembly of interlocking segments
A device and method for automated computer controlled manufacture of assemblies composed of discrete linked product segments includes reciprocating product segment grippers having surface features engageable with the product segments, at least one robotic manipulating device whereby the product segments may be engaged by the product segment grippers.