[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wang et al., 2018 - Google Patents

Controlling object hand-over in human–robot collaboration via natural wearable sensing

Wang et al., 2018

View PDF
Document ID
18398619203542972803
Author
Wang W
Li R
Diekel Z
Chen Y
Zhang Z
Jia Y
Publication year
Publication venue
IEEE Transactions on Human-Machine Systems

External Links

Snippet

With the deployment of collaborative robots in intelligent manufacturing, object hand-over between humans and robots plays a significant role in human-robot collaborations. In most collaboration studies, human hand-over intentions were usually assumed to be known by …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017Gesture based interaction, e.g. based on a set of recognized hand gestures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00335Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • G06K9/00355Recognition of hand or arm movements, e.g. recognition of deaf sign language
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/39Robotics, robotics to robotics hand
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1674Programme controls characterised by safety, monitoring, diagnostic
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/40Robotics, robotics mapping to robotics vision
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J13/00Controls for manipulators
    • B25J13/08Controls for manipulators by means of sensing devices, e.g. viewing or touching devices

Similar Documents

Publication Publication Date Title
Wang et al. Controlling object hand-over in human–robot collaboration via natural wearable sensing
Wang et al. Predicting human intentions in human–robot hand-over tasks through multimodal learning
Yang et al. Haptics electromyography perception and learning enhanced intelligence for teleoperated robot
Li et al. Survey on mapping human hand motion to robotic hands for teleoperation
Fang et al. Survey of imitation learning for robotic manipulation
Dillmann et al. Learning robot behaviour and skills based on human demonstration and advice: the machine learning paradigm
Kubota et al. Activity recognition in manufacturing: The roles of motion capture and sEMG+ inertial wearables in detecting fine vs. gross motion
Hossain et al. Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems
Yuan et al. Robot synesthesia: In-hand manipulation with visuotactile sensing
Yanik et al. Use of kinect depth data and growing neural gas for gesture based robot control
Tortora et al. Fast human motion prediction for human-robot collaboration with wearable interface
da Fonseca et al. Tactile object recognition in early phases of grasping using underactuated robotic hands
Chen et al. A human–robot interface for mobile manipulator
Shin et al. EMG and IMU based real-time HCI using dynamic hand gestures for a multiple-DoF robot arm
Nguyen et al. Merging physical and social interaction for effective human-robot collaboration
Palm et al. Recognition of human grasps by time-clustering and fuzzy modeling
Huang et al. Tradeoffs in neuroevolutionary learning-based real-time robotic task design in the imprecise computation framework
Brock et al. A framework for learning and control in intelligent humanoid robots
Cai et al. FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks
Amatya et al. Real time kinect based robotic arm manipulation with five degree of freedom
Gäbert et al. Gesture based symbiotic robot programming for agile production
Perico et al. Learning robust manipulation tasks involving contact using trajectory parameterized probabilistic principal component analysis
Skoglund et al. Programming-by-Demonstration of reaching motions—A next-state-planner approach
Fresnillo et al. A method for understanding and digitizing manipulation activities using programming by demonstration in robotic applications
Chen et al. Dynamic gesture design and recognition for human-robot collaboration with convolutional neural networks