A processing system is disclosed for providing processing of objects that includes a programmable motion device including an end effector, a perception system for recognizing any of the identity, location, and orientation of an object presented in a plurality of objects at an input location, a grasp acquisition system for acquiring the object using the end effector to permit the object to be moved from the plurality of objects to one of a plurality of destination bins, and a motion planning system for determining a changing portion of a trajectory path of the end effector from the object to a base location proximate to the input location, and determining an unchanging portion of a trajectory path of the end effector from the base location to a destination bin location proximate to a destination bin.

A teaching device is a teaching device for a robot including a base, an arm having a plurality of links coupled to each other and coupled to the base, and a hand coupled to the arm. The teaching device includes a setter that sets a predetermined condition including start and end points of the hand in predetermined movement of the arm, and a deriver that derives a movement trajectory of the hand from the start point to the end point and a movement trajectory of the arm according to the movement trajectory of the hand based on the predetermined condition while changing the position of the base.

Methods, apparatuses, systems, and computer program products for an improved anti-sway control system and adjustable end effector for a robotic arm are provided. An example method includes determining at least one of a size, shape or orientation of a package to be picked up by an end effector of a robotic arm and facilitating adjusting a position of a suction cup on the end effector, wherein the position is determined based on the at least one determined size, shape, or orientation of the package. The method further includes facilitating grasping the package with the end effector and facilitating movement of the end effector via a robotic joint to reduce force on the suction cup by the package due to an acceleration of the package due to movement of the robotic arm.

The present invention relates to a method for parallelized simulation of the movement of a machine component in or near a work object, wherein: a planned trajectory of the machine component is divided into several trajectory portions; a simulation of at least a first trajectory portion and a second trajectory portion is performed at least partly in parallel yielding simulation results, wherein the simulation comprises determining incidents, preferably collisions, along the trajectory portions; at least the simulation results of the first trajectory portion and the second trajectory portion are merged yielding a merged simulation result; and the merged simulation result is outputted.

Method and system for controlling a vehicle that includes using velocity vectors of obstacles in the vehicle's environment to determining boundaries of the one or more obstacles and thereby generate a velocity space that may include velocity vectors for the vehicle and which are represented as collision cones. The using an identified velocity vector in combination with the velocity vectors of the one or more obstacles to produce a maximum motion in of the vehicle towards a target location while avoiding all determined collision cones.

Methods and systems are provided for high-speed constrained motion planning. In one embodiment, a method includes computing, with a neural network trained on trajectories generated by a non-convex optimizer, a trajectory from one or more initial states of an autonomous system to one or more final states of the autonomous system, updating, with the non-convex optimizer, the trajectory according to kinematic limits and dynamic limits of the autonomous system to obtain a final trajectory, and automatically controlling the autonomous system from an initial state of the one or more initial states to a final state of the one or more final states according to the final trajectory. In this way, efficient and smooth trajectories can be rapidly computed for effective real-time control while accounting for obstacles and physical constraints of an autonomous system.

A robot simulator includes a storage device that stores model information related to the robot and an obstacle in the vicinity of the robot, and an acquisition device that obtains first input information defining a start position and an end position of operation of the robot. A processing device generates a path for moving the distal end portion of the robot from the start position to the end position while avoiding collisions between the robot and the obstacle based on the first input information and the model information. The processing device also generates image data including an illustration of the obstacle and an index indicating a via-point of the path.

Methods, apparatuses, systems, and computer program products for an improved anti-sway control system and adjustable end effector for a robotic arm are provided. An example method includes determining at least one of a size, shape, or orientation of a package to be picked up by an end effector of a robotic arm, adjusting a position of a suction cup on the end effector to grasp the package by linearly moving the suction cup from an initial position on a rail associated with the end effector to a predetermined end position on the rail associated with the end effector, determining a path for the robotic arm to move to the predetermined end position; and controlling movement of the end effector via a robotic joint to reduce force on the suction cup by the package due to an acceleration of the package due to movement of the robotic arm.

A robot control device includes: a reliability computing unit that is inputted with a feature quantity obtained from a sensor signal indicating a measurement result obtained by an external sensor installed in a main body of a robot or a surrounding environment of the robot, and computes a reliability for the sensor signal on the basis of a temporal change or a spatial change of the feature quantity; a correction command value computing unit that computes a trajectory correction amount for correcting a trajectory of the robot on the basis of the reliability and correction information calculated on the basis of the feature quantity; and a command value generation unit that generates a location command value for the robot on the basis of a predetermined target trajectory of the robot and the trajectory correction amount.

A method for generating intermediate waypoints for a navigation system of a robot includes receiving a navigation route. The navigation route includes a series of high-level waypoints that begin at a starting location and end at a destination location and is based on high-level navigation data. The high-level navigation data is representative of locations of static obstacles in an area the robot is to navigate. The method also includes receiving image data of an environment about the robot from an image sensor and generating at least one intermediate waypoint based on the image data. The method also includes adding the at least one intermediate waypoint to the series of high-level waypoints of the navigation route and navigating the robot from the starting location along the series of high-level waypoints and the at least one intermediate waypoint toward the destination location.