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Analysis

1.20260010586SYSTEMS AND METHODS OF SENSOR DATA FUSION
US 08.01.2026
Int.Class G06F 18/25
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
18Pattern recognition
20Analysing
25Fusion techniques
Appl.No 19319105 Applicant Digital Global Systems, Inc. Inventor Armando Montalvo

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

2.20260010126SYSTEMS AND METHODS OF SENSOR DATA FUSION
US 08.01.2026
Int.Class G05B 13/02
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
13Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
02electric
Appl.No 19328863 Applicant Digital Global Systems, Inc. Inventor Armando Montalvo

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

3.WO/2026/008143OPERATOR PENDANT FOR AN INDUSTRIAL ROBOT
WO 08.01.2026
Int.Class B25J 9/16
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; HANDLES FOR HAND IMPLEMENTS; WORKSHOP EQUIPMENT; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
9Programme-controlled manipulators
16Programme controls
Appl.No PCT/EP2024/068784 Applicant ABB SCHWEIZ AG Inventor BJÖRKMAN, Mattias
Operator pendant (150) for an industrial robot (100) with a robot manipulator (110) and a robot controller (120), comprising a base unit (160) and a movable unit (170). The base unit comprises: a cable interface (161) for connecting a communication cable (180) towards the robot controller; an emergency stop switch (162) operable to transmit an emergency stop instruction to the robot controller; a robot-motion enabling device (163); a wireless interface (164); and a ranging device (165). The movable unit comprises: a wireless interface (171) configured to maintain a wireless communication link (191) with the base unit during operation; and an operator interface (173), which is operable to enable a set of safety-relevant input elements (174). The ranging device of the base unit is configured to determine whether the movable unit is in proximity of the base unit, and the operator interface enables the set of safety-relevant input elements only while the movable unit is in proximity.
4.WO/2026/007048INDUSTRIAL ROBOT TRAJECTORY DETECTION DEVICE
WO 08.01.2026
Int.Class B25J 19/00
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; HANDLES FOR HAND IMPLEMENTS; WORKSHOP EQUIPMENT; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
19Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
Appl.No PCT/CN2024/103482 Applicant HEBEI CHEMICAL & PHARMACEUTICAL COLLEGE Inventor SHI, Liyun
An industrial robot trajectory detection device, comprising a base plate (1), wherein a support plate (2) is fixedly mounted on the base plate (1), a disk (3) is provided on the support plate (2), a driving assembly is provided on the disk (3), a track assembly is provided on the driving assembly, a tension sensor (4) is provided on the track assembly, a tension spring (5) is provided on the tension sensor (4), and a first magnet (6) is fixedly mounted at the end of the tension spring (5) away from the tension sensor (4). A track plate (15) is driven by an electric motor (12) of the driving assembly for angular rotation adjustment, the position of a sliding block (17) on the track plate (15) may also be adjusted by means of an electric push rod (16), and a second magnet (10) on a robotic arm (9) and the first magnet (6) are attracted such that an industrial robot performs trajectory detection on the disk (3), and different trajectory data is detected by changing a trajectory, thereby effectively improving the work efficiency, precision and adaptability of the industrial robot.
5.WO/2026/009058METHODS OF CONTROLLING A DISPENSED BEAD SHAPE AND OPTIMIZING A NONLINEAR ROBOTIC TRAJECTORY OF DEPOSITION
WO 08.01.2026
Int.Class B25J 9/16
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; HANDLES FOR HAND IMPLEMENTS; WORKSHOP EQUIPMENT; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
9Programme-controlled manipulators
16Programme controls
Appl.No PCT/IB2025/055687 Applicant 3M INNOVATIVE PROPERTIES COMPANY Inventor ZHU, Zhijie
The present disclosure provides a method of controlling a bead shape of a dispensed bead of material along a dispensing path, by adjusting at least one of a) a robot path parameter or b) a dispenser parameter, using at least one of i) a user input or ii) a feedback from a sensor, to vary the bead shape based on a characteristic of the workpiece. A method of optimizing a non-linear robotic trajectory of deposition of a bead material includes a) obtaining a nominal deposition path; b) selecting at least one process parameter; c) optimizing the deposition path using the at least one process parameter and at least one path or parameter tolerance to create an adjusted deposition path; d) checking for at least one issue along the adjusted deposition path; and e) finalizing the adjusted deposition path. A method of depositing a bead of material in a non-linear path includes optimizing a non-linear robotic trajectory of deposition of a bead material and depositing the bead of material in the finalized adjusted path.
6.WO/2026/009958PICKING METHOD AND PICKING CONTROL DEVICE
WO 08.01.2026
Int.Class B25J 13/00
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; HANDLES FOR HAND IMPLEMENTS; WORKSHOP EQUIPMENT; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
13Controls for manipulators
Appl.No PCT/JP2025/024021 Applicant PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD. Inventor TAMAKI Daichi
Provided is a picking method for picking an object, said method including: controlling gripping of the object; acquiring information pertaining to a moment of a gripping position of the object; acquiring information on a gripping force for gripping the object; determining at least one of an acceleration and a speed during movement of the object on the basis of the moment and the gripping force; and controlling to move the gripped object at the acceleration and the speed of which at least one has been determined.
7.20260007483DEVICES, SYSTEMS AND METHODS FOR WEARABLE HAPTIC GUIDANCE AND FEEDBACK
US 08.01.2026
Int.Class A61B 34/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
34Computer-aided surgery; Manipulators or robots specially adapted for use in surgery
Appl.No 19258545 Applicant Board of Regents, The University of Texas System Inventor Ann Majewicz Fey

A wearable haptic guidance and feedback device comprises a sleeve, a grounding mechanism attached to the sleeve, at least one actuator attached to the grounding mechanism, and at least one actuation mechanism mechanically coupling the at least one actuator to at least one of the sleeve and the grounding mechanism. Related systems and methods are also disclosed.

8.102024118900Vorrichtung zum Greifen von Objekten
DE 08.01.2026
Int.Class B25J 15/06
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; HANDLES FOR HAND IMPLEMENTS; WORKSHOP EQUIPMENT; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
15Gripping heads
06with vacuum or magnetic holding means
Appl.No 102024118900 Applicant Carl Zeiss Jena GmbH Inventor Mazal Jonas

Die Erfindung betrifft eine Vorrichtung zum Greifen von Objekten, mit einer Düse, die einen Düsengrundkörper mit einem Lufteinlass und einer Auslassdüse aufweist, wobei der Düsengrundkörper im Bereich der Auslassdüse eine Greiffläche aufweist. Erfindungsgemäß ist vorgesehen, dass die Greiffläche nicht in einer Ebene liegt embedded image

9.20260008532BIONIC MULTI-ARMED UNDERWATER UNMANNED VEHICLE FOR UNDERWATER OPERATIONS OF UNMANNED SURFACE VESSEL
US 08.01.2026
Int.Class B63G 8/42
BPERFORMING OPERATIONS; TRANSPORTING
63SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
GOFFENSIVE OR DEFENSIVE ARRANGEMENTS ON VESSELS; MINE-LAYING; MINE-SWEEPING; SUBMARINES; AIRCRAFT CARRIERS
8Underwater vessels, e.g. submarines
42Towed underwater vessels
Appl.No 19050315 Applicant Shanghai University Inventor Hao WU

A bionic multi-armed underwater unmanned vehicle for underwater operations of an unmanned surface vessel is provided. During the process of being towed by the unmanned surface vessel, the underwater unmanned vehicle relies on a crab-like shape design to maintain its own passive stability and balance, seldom relying on active control, and achieves active motion balance based on the balance control of the underwater unmanned vehicle's robotic arms and the propulsion system. This underwater unmanned vehicle can replace underwater operators for underwater operations, is powered and communicates with the unmanned surface vessel through a tow rope, and can also achieve remote control by the operators. It is an underwater unmanned vehicle with the advantages of long-endurance and remote control capabilities, as well as extremely strong underwater operation capabilities.

10.WO/2026/009899LEARNING METHOD, LEARNING DEVICE, PROCESSING DEVICE, AND PROGRAM
WO 08.01.2026
Int.Class G06T 7/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
Appl.No PCT/JP2025/023749 Applicant KYOCERA CORPORATION Inventor NAKAMURA Masayoshi
This learning method generates a trained model that recognizes a recognition target portion, which is a portion of a work target, on the basis of an inference image including a plurality of work targets that are the target of work by a robot, the trained model being generated by training an untrained model on the basis of training data including training images and annotation data relating to the recognition target portion.