Palo Alto Research Center Inc.

Sandvik Intellectual Property Ab

Savioke, Inc.

Conduent Business Services, LLC

Christian Fritz

Saigopal Nelaturi

Tolga Kurtoglu

Arvind Rangarajan

Robert S Bauer

Johan De Kleer

Shekhar Gupta

Adrian Canoso

Gregory Burton

Victoria M E Bellotti

Philipp Josef Herget

Stephan Wirth

Tessa Lau

Alain Minier

Lucas Chiesa

Robert Roy Price

Serdar Uckun

Minh Binh Do

Shane Patrick Ahern

Steve B Cousins

Matthew Klenk

Izumi Yaskawa

Rong Yang

A Web-based system and method creates one or more qualitatively distinct process plans for machining a part. The surfaces of the part are modeled and parameters for a plurality of CNC machining tools are obtained, including the orientations along which the tool cuts away raw material. A maximal set of translations for each tool is also obtained, where each translation includes a collision-free orientation of the tool and a maximal machinable volume of material removable from the part in that orientation. A search engine navigates through a hierarchically-structured search space that starts at an initial state and transitions to successive states based on actions that satisfy a cost constraint function. Each state and each action includes a tool, orientation of the tool, and a maximal machinable volume. The search ends when a goal condition is satisfied. The actions constitute the process plan.

System and method for computer numerical control (CNC) tool without undercut features operations planning with the aid of a digital computer

A mobile robot includes a mode of operation to recover from a localization error. The mobile robot detects a change in state in a local region proximate the mobile robot. The location of the mobile robot is identified based at least in part on the detected change in state. In one implementation, the mobile robot interfaces with a system controller of a building to initiate a change in state in a local region of a building.

Apparatus, system, and method for mobile robot relocalization

Automated fixture layout is approached in two distinct stages. First, the spatial locations of clamping points on the work piece are determined to ensure immobility of the fixtured part under any infinitesimal perturbation. Second, spatial locations are matched against a user-specified library of reconfigurable clamps to synthesize a valid fixture layout or configuration that includes clamps that are accessible and collision free. The spatial locations matching during the second stage can be the same spatial locations chosen in the first stage to ensure immobility, or a different set of spatial locations.

System and method for fixture configuration determination for part manufacturing with the aid of a digital computer

A system and method for optimization of on-demand microtransit is provided. A list of possible stops of one or more vehicles is maintained. A plurality of requests for transportation are received, each of the requests associated with at least one traveler. Travelers to be transported by one of the vehicles are selected. A set of a minimal number of the stops is selected, the set comprising at least one stop that is within a predefined walking distance of the origin location of each of the selected travelers and at least one stop within the predefined walking distance of the destination location of each of the selected travelers. Potential routes are identified for the vehicle that include the stops in the set. The potential routes are evaluated using a plurality of constraints and one of the routes is selected for fulfilling the requests of the selected travelers.

System and method for optimization of on-demand microtransit

System and method for fixture form-closure determination for part manufacturing with the aid of a digital computer

One embodiment provides a system for facilitating integration of recommended exercise with transportation directions. During operation, the system generates, by a mobile computing device associated with a user, a request for a route from a start location to a destination location. The system determines one or more of the user's transportation-related preferences, which include the user's activity level goal. The system monitors the user's activity requirement. The system receives the route, which includes one or more segments, wherein a segment indicates a transportation type and a corresponding activity value, wherein the route is calculated based on the transportation-related preferences and the monitored activity requirement, thereby facilitating integration of recommended exercise with transportation directions.

System and method for integrating recommended exercise with transportation directions

Planning of computer numerical control (CNC) machining operations with the aid of a digital computer

A method for autonomous map generation by a robot comprising: instructing the robot to traverse a route within an environment in which the robot is deployed; while following the route, causing the robot to collect sensor data to identify features in the environment and to generate an initial map of areas in environment that have been traversed; upon completion of the route, autonomously generating a map of valid areas of the environment by moving throughout the environment while collecting sensor data; while autonomously generating the map, determining that a particular area is potentially invalid by detecting features that are previously unknown to the robot; generating and providing an electronic message to an operator of the robot comprising sensor data of the particular area and a prompt requesting information indicating whether the particular area is valid or invalid; upon receiving a response from the operator, continuing autonomously generating the map according to the response wherein if the particular area is valid, collecting sensor data from the particular area and, if the particular area is invalid, proceeding to an unmapped, valid area of the environment; determining that there are no remaining unmapped, valid areas of the environment, ending autonomously generating the map.

Computer system and method for automated mapping by robots

System and method for determining spatial locations of fixture element fixturing points on a part to be manufactured with the aid of a digital computer

A robot for delivering items within a building or within a prescribed radius of a building are provided. A method comprises receiving a task indicating a non-stationary origin and a destination; identifying a current location of the non-stationary origin by interrogating a remote computer associated with the non-stationary origin for the current location of the non-stationary origin; moving towards the current location of the non-stationary origin; determining that the non-stationary origin has changed location by interrogating the remote computer associated with the non-stationary origin for an updated current location of the non-stationary origin; predicting a next location of the non-stationary origin using an artificial intelligence prediction algorithm; determining that the robot has arrived at the origin; detecting an interaction with the robot that is associated with introducing an item to or removing an item from a storage compartment in the robot; moving towards the destination inside of the building.

System and method for robotic delivery between moving targets

One embodiment provides a system that facilitates optimization of passenger pick-up. During operation, the system generates, by a first mobile computing device associated with a passenger at a first location, a request for a target location at which to meet with a vehicle. The system receives the target location and a planned passenger route for the passenger to the target location, which are calculated based on a location, facing direction, and direction of movement, if any, of the vehicle, and wherein the target location is different from the first location, thereby facilitating optimization of a time duration and route the passenger takes to meet the vehicle.

System and method for optimizing passenger pick-up

System and method for locating clamping points for a part to be manufactured through computer numerical control (CNC) machining operations with the aid of a digital computer

The following relates generally to computer system efficiency improvements. Broadly, systems and methods are disclosed that improve efficiency in a cluster of nodes by efficient processing of tasks among nodes in the cluster of nodes. Assignment of tasks to compute nodes may be based on learned CPU capabilities and I/O bandwidth capabilities of the compute nodes in the cluster.

Dynamically adaptive, resource aware system and method for scheduling

Growing community of inventors

Menlo Park, CA, United States of America

Christian Fritz