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

Zhang et al., 2023 - Google Patents

Flowbot++: Learning generalized articulated objects manipulation via articulation projection

Zhang et al., 2023

View PDF
Document ID
5027766040099322660
Author
Zhang H
Eisner B
Held D
Publication year
Publication venue
arXiv preprint arXiv:2306.12893

External Links

Snippet

Understanding and manipulating articulated objects, such as doors and drawers, is crucial for robots operating in human environments. We wish to develop a system that can learn to articulate novel objects with no prior interaction, after training on other articulated objects …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/40—Robotics, robotics mapping to robotics vision
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/39—Robotics, robotics to robotics hand
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Programme-controlled manipulators
    • B25J9/16—Programme controls
    • B25J9/1674—Programme controls characterised by safety, monitoring, diagnostic
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Zhang et al. Flowbot++: Learning generalized articulated objects manipulation via articulation projection
Sivakumar et al. Robotic telekinesis: Learning a robotic hand imitator by watching humans on youtube
Tang et al. A framework for manipulating deformable linear objects by coherent point drift
Finn et al. Deep visual foresight for planning robot motion
Bagnell et al. An integrated system for autonomous robotics manipulation
Bohg et al. Mind the gap-robotic grasping under incomplete observation
Wang et al. Collision-free trajectory planning in human-robot interaction through hand movement prediction from vision
Niekum et al. Online bayesian changepoint detection for articulated motion models
Shi et al. Fast uncertainty quantification for deep object pose estimation
Field et al. Learning trajectories for robot programing by demonstration using a coordinated mixture of factor analyzers
Zhou Lageo: a latent and geometrical framework for path and manipulation planning
Jia et al. Visual trajectory tracking of industrial manipulator with iterative learning control
Hudson et al. Model-based autonomous system for performing dexterous, human-level manipulation tasks
Tian et al. Transferring grasp configurations using active learning and local replanning
Lew et al. Robotic table wiping via reinforcement learning and whole-body trajectory optimization
Wang et al. Learning semantic keypoint representations for door opening manipulation
Lu et al. Markerless camera-to-robot pose estimation via self-supervised sim-to-real transfer
Liu et al. Collision-free motion generation based on stochastic optimization and composite signed distance field networks of articulated robot
Arsenic Developmental learning on a humanoid robot
Park et al. Fast and bounded probabilistic collision detection in dynamic environments for high-dof trajectory planning
Bartsch et al. Sculptbot: Pre-trained models for 3d deformable object manipulation
Liu et al. Learning articulated constraints from a one-shot demonstration for robot manipulation planning
Naik et al. Multi-view object pose distribution tracking for pre-grasp planning on mobile robots
Liang et al. Learning preconditions of hybrid force-velocity controllers for contact-rich manipulation
Lin et al. Cloud robotic grasping of Gaussian mixture model based on point cloud projection under occlusion