[go: up one dir, main page]

D’Avella et al., 2020 - Google Patents

A study on picking objects in cluttered environments: Exploiting depth features for a custom low-cost universal jamming gripper

D’Avella et al., 2020

View PDF
Document ID
5419446424538948849
Author
D’Avella S
Tripicchio P
Avizzano C
Publication year
Publication venue
Robotics and Computer-Integrated Manufacturing

External Links

Snippet

Robotics solutions in the industrial sector are moving towards higher degrees of flexibility. In such a context, the latest research is focused on grasping technologies for material handling. The aim of this work is to study a possible way to overcome current limitations on …
Continue reading at www.researchgate.net (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
    • G05B2219/40053—Pick 3-D object from pile of objects
    • 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
    • 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
    • B25J15/00—Gripping heads and other end effectors
    • B25J15/02—Gripping heads and other end effectors servo-actuated
    • 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
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J15/00—Gripping heads and other end effectors
    • B25J15/06—Gripping heads and other end effectors with vacuum or magnetic holding means
    • B25J15/0616—Gripping heads and other end effectors with vacuum or magnetic holding means with vacuum
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J13/00—Controls for manipulators
    • B25J13/08—Controls for manipulators by means of sensing devices, e.g. viewing or touching devices

Similar Documents

Publication Publication Date Title
D’Avella et al. A study on picking objects in cluttered environments: Exploiting depth features for a custom low-cost universal jamming gripper
US11654564B2 (en) Efficient data generation for grasp learning with general grippers
US11446816B2 (en) Robotic systems and methods for robustly grasping and targeting objects
Li et al. Data-driven grasp synthesis using shape matching and task-based pruning
Mnyusiwalla et al. A bin-picking benchmark for systematic evaluation of robotic pick-and-place systems
Corbato et al. Integrating different levels of automation: Lessons from winning the amazon robotics challenge 2016
Alonso et al. Current research trends in robot grasping and bin picking
Suzuki et al. Grasping of unknown objects on a planar surface using a single depth image
Jiang et al. Learning hardware agnostic grasps for a universal jamming gripper
Zhang et al. Deep learning reactive robotic grasping with a versatile vacuum gripper
Kim et al. An Innovative Automated Robotic System based on Deep Learning Approach for Recycling Objects.
Yang et al. Dynamo-grasp: Dynamics-aware optimization for grasp point detection in suction grippers
Son et al. Coas-net: Context-aware suction network with a large-scale domain randomized synthetic dataset
CN117621032A (en) An object picking method and related equipment
Hasan et al. Model-free, vision-based object identification and contact force estimation with a hyper-adaptive robotic gripper
Yuanyang et al. Grasping Deformable Objects in Industry Application: A Comprehensive Review of Robotic Manipulation
Wang et al. Q-pointnet: Intelligent stacked-objects grasping using a rgbd sensor and a dexterous hand
Moll et al. Orienting micro-scale parts with squeeze and roll primitives
Ghasemi et al. Scene understanding in pick-and-place tasks: Analyzing transformations between initial and final scenes
Ali et al. Development of vision-based sensor of smart gripper for industrial applications
Bottarel Where’s my mesh? An exploratory study on model-free grasp planning
Zhao Application of Robot Sorting Technology in Automatic Sorting of 3D Vision Target Pose Manipulator
Hermann et al. Eye in hand: Towards gpu accelerated online grasp planning based on pointclouds from in-hand sensor
Zechmair et al. Behavioral Manifolds: Representing the Landscape of Grasp Affordances in Relative Pose Space
Zechmair et al. Systematically Exploring the Landscape of Grasp Affordances via Behavioral Manifolds