Abstract: Systems and methods for providing inter-vehicle communication are disclosed. The method includes receiving, at a fleet management system, operating data from one or more self-driving vehicles via a communication network, and operating the fleet management system to determine a characteristic of a set of vehicles of one or more self-driving vehicles satisfies at least one communication condition. In response to determining the set of vehicles satisfies the at least one communication condition, the fleet management system can operate to select a stored data portion from a manager storage unit based at least on the characteristic of the set of vehicles; and transmit the data portion to the set of vehicles via the communication network. A method of providing inter-vehicle communication between one or more self-driving vehicles is also disclosed.

Abstract: Autoscrubbers are capable of being operated in a manual (e.g. walk-behind) mode and an autonomous (operator free) mode and capable of switching between such operational modes. Apparatus and methods for steering such autoscrubbers use steering torque mechanisms to apply steering torques independently to left and right drive wheels. Steering systems for autonomous operation may be retrofit onto existing walk-behind autoscrubbers to implement this functionality. The autonomous control capability may not detract appreciably from an operator's ability to use the autoscrubber in a manual (walk-behind) mode.

Abstract: Systems and methods for determining safe zones in a workspace calculate safe actions in real time based on all sensed relevant objects and on the current state of the machinery (e.g., a robot) in the workspace. Various embodiments forecast, in real time, both the motion of the machinery and the possible motion of a human within the space, and continuously update the forecast as the machinery operates and humans move in the workspace.

Abstract: According to one aspect of the invention, there is provided a method for generating a map for a robot, the method comprising the steps of: acquiring a raw map associated with a task of the robot; identifying pixels estimated to be a moving obstacle in the raw map, on the basis of at least one of colors of pixels specified in the raw map and sizes of areas associated with the pixels; and performing dilation and erosion operations on the pixels estimated to be the moving obstacle, and determining a polygon-based contour of the moving obstacle.

Abstract: An example system includes a vacuum generating device, a robotic arm, and a harvesting device coupled to the robotic arm. The harvesting device includes an end-effector having an inlet; a vacuum tube coupled to the inlet of the end-effector and to the vacuum generating device, where the vacuum generating device is configured to generate a vacuum environment in the vacuum tube; an outlet mechanism coupled to the vacuum tube; and a deceleration structure configured to decelerate fruit that has traversed at least a portion of the vacuum environment.

Abstract: A container with an alignment correcting end is provided. The alignment correcting end has angled side walls that extend from parallel flat square or rectangular sides of the container. Each angled side wall extends at an angle between 5 and 70 from one of the parallel walls towards the center of the container. Nubs may be disposed about an exterior of the angled side walls. Also, a passive displacing robotic element for performing misaligned or off-axis placement of the container with the alignment correcting end is provided. The passive displacing robotic element provides displacement of the one or more robotic actuators that are used to engage and place the container into the slot in response to the alignment correcting end of the container contacting the slot edge, wall, or other barrier.

Abstract: A dual-loop torque sensing system includes four position sensors disposed in the motor and the reduction drive to form a dual-loop for detection to calculate the output torques. The detection of the position sensors is for confirming abnormality of the dual-loop or the position sensors. A failure alarm is issued to enhance the safety of the working environment.

Abstract: A mobile manipulator robot having a pneumatic charging system. The mobile robot includes an energy source and a charging system to charge the energy source. The charging system includes a coupler having a mating end configured to mate with an external pneumatic supply system to access a pneumatic supply and a pneumatic actuator disposed downstream of the coupler. The pneumatic actuator is configured to convert energy from the pneumatic supply to charge the energy source. The pneumatic actuator may be an air motor or a piezo.

Abstract: Systems and methods for vehicle controllers for agricultural and industrial applications are described. For example, a method includes accessing a map data structure storing a map representing locations of physical objects in a geographic area; accessing current point cloud data captured using a distance sensor connected to a vehicle; detecting a crop row based on the current point cloud data; matching the detected crop row with a crop row represented in the map; determining an estimate of a current location of the vehicle based on a current position in relation to the detected crop row; and controlling one or more actuators to cause the vehicle to move from the current location of the vehicle to a target location.

Abstract: A robotic sled-enhanced food preparation system includes a robotic kitchen assistant operable to determine and to perform food preparation steps, and an autonomous mobile sled operable to supply the robotic kitchen assistant with ingredients and supplies. The robotic kitchen assistant includes a scheduling engine to evaluate food inventory levels and automatically determine when to replenish the food inventories using the sled if the food inventory levels are insufficient to complete the food preparation steps. Related methods are also described.

Abstract: A computer implemented method of semi-supervised intent recognition for an exoskeleton system. In one aspect, the method includes, in response to a state transition intention input, changing the exoskeleton system from operating in a first mode with sensitivity to detecting state transitions at a first sensitivity level to operating in a second mode with sensitivity to detecting state transitions at a second sensitivity level that is more sensitive than the first sensitivity level; identifying a state transition while operating in the second mode and using the second sensitivity level; and facilitating the identified state transition by actuating the exoskeleton system.

Abstract: Some embodiments described herein relate to optical systems and methods for determining the shape and/or size of objects that include projecting a pattern of light onto the object. The pattern of light can be configured such that first-order reflections can be distinguished from second- and/or higher-order reflections, which can be rejected. Thus, even in instances in which the pattern of light is reflected onto the object multiple times, the original, or first-order, reflection can be detected, distinguished, and/or used for laser triangulation. In some embodiments, a pattern of light that does not have reflection and/or rotational symmetry is projected onto the object, such that second-order and/or higher-order reflections can be distinguished from the first-order reflection.

Abstract: An autonomous earth moving system can select an action for an earth moving vehicle (EMV) to autonomously perform using a tool (such as an excavator bucket). The system then generates a set of candidate tool paths, each illustrating a potential path for the tool to trace as the earth moving vehicle performs the action. In some cases, the system uses an online learning model iteratively trained to determine which candidate tool path best satisfies one or more metrics measuring the success of the action. The earth moving vehicle the executes the earth moving action using the selected tool path and measures the results of the action. In some implementations, the autonomous earth moving system updates the machine learning model based on the result of the executed action.

Abstract: One variation of a method for tracking placement of products in a store includes: accessing an image depicting a shelving structure in the store; reading a product identifier of a product from a shelf tag detected in the image; accessing a set of template features associated with the product identifier; based on the shelf tag detected in the image, locating a region in the first image depicting a slot on the shelving structure; confirming presence of a unit of the product in the slot in response to detecting features analogous to the set of template features in the region in the image; detecting absence of the product from the slot based on absence of features analogous to the set of template features in the region in the image; and in response to detecting absence of the product from the slot, generating a prompt to restock the slot.

Abstract: Example systems and methods are described that are capable of gripping objects. In one implementation, a method involves identifying, by a processing system, an object to be gripped at a first location, commanding, by the processing system, a robotic actuator to move a gripper in a first direction so that the gripper makes contact with the object, wherein one or more teeth in a plurality of fingers associated with the gripper mechanically engage the object, and commanding, by the proceeding system, the robotic actuator to move the gripper in a second direction that is substantially opposite to the first direction, causing the gripper to grip the object.

Abstract: There is described a device for switching communications comprising a circuit board as well as first, second, and third antennas. The first antenna is coupled to the circuit board, and the first antenna is focused on a first direction and based on a first wireless technology. The second antenna is coupled to the circuit board, and the second antenna is focused on a second direction and based on the first wireless technology, in which the second direction is different from the first direction. The third antenna is coupled to the circuit board, and the third antenna is focused on a third direction and based on a second wireless technology, in which the second wireless technology is different from the first wireless technology. The second antenna may operate as a shield for the third antenna.

Abstract: Methods and systems for assessing a robotic grasping technique. The system in accordance with various embodiments may include a warehouse management system for retrieving and storing items, a robotic manipulator for grasping an item, and analysis module configured to receive data regarding a first grasp attempt by the robotic manipulator and analyze the received data to determine whether the robotic manipulator successfully grasped the item.

Abstract: Systems and methods for WiFi mapping an industrial facility are disclosed. The system comprises a self-driving vehicle having a WiFi transceiver. The self-driving vehicle communicates with a fleet-management using the WiFi transceiver, via a WiFi access point. The self-driving vehicle receives a mission from the fleet-management system, and moves to a destination location based on the mission, using autonomous navigation. While executing the mission, the self-driving vehicle simultaneously measures the received signal strength indication of the WiFi access point and other WiFi access points in the facility, and stores the received signal strength indication in association with the location at which the received signal strength indication was measured.

Abstract: A robot safety weight compensation system and method calculate a difference between an estimated torque calculated by a dynamics model and a detected torque to form a weight tolerance. When the weight tolerance exceeds a predetermined trigger condition, an error notification is output, and the robot is brought to a safe state. When the weight tolerance is within a predetermined trigger condition, a weight compensation information is sent to correctly compensate the weight held by a robot.

Abstract: A system for facility monitoring and reporting to improve safety using one or more robots includes: a network; a plurality of autonomous mobile robots operating in a facility, the robots configured to monitor facility operation, the robots further configured to detect a predetermined critical condition, the robots operably connected to the network; a server operably connected to the robots over the network; and an individual robot operably connected to the server over the network, the individual robot operating in the facility, the robots not comprising the individual robot, the individual robot configured to monitor facility operation; wherein the robots are configured to regularly produce a regular report under normal operating conditions, the report displaying data received from the server, wherein the robots are further configured to produce to the server a critical condition report upon occurrence of the critical condition.