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

Kang et al., 2022 - Google Patents

Grasp planning for occluded objects in a confined space with lateral view using monte carlo tree search

Kang et al., 2022

View PDF
Document ID
13409904874739437946
Author
Kang M
Kee H
Kim J
Oh S
Publication year
Publication venue
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

External Links

Snippet

In the lateral access environment, the robot be-havior should be planned considering surrounding objects and obstacles because object observation directions and approach angles are limited. To safely retrieve a partially occluded target object in these …
Continue reading at rllab.snu.ac.kr (PDF) (other versions)

Classifications

    • 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
    • G05B2219/40053Pick 3-D object from pile of objects
    • 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
    • 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
    • G05B2219/50Machine tool, machine tool null till machine tool work handling
    • G05B2219/50109Soft approach, engage, retract, escape, withdraw path for tool to workpiece
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Murali et al. 6-dof grasping for target-driven object manipulation in clutter
Danielczuk et al. Mechanical search: Multi-step retrieval of a target object occluded by clutter
Chi et al. A generalized Voronoi diagram-based efficient heuristic path planning method for RRTs in mobile robots
Danielczuk et al. Object rearrangement using learned implicit collision functions
Ebert et al. Self-Supervised Visual Planning with Temporal Skip Connections.
Li et al. Act to see and see to act: POMDP planning for objects search in clutter
Chamzas et al. Learning sampling distributions using local 3d workspace decompositions for motion planning in high dimensions
Kuffner et al. RRT-connect: An efficient approach to single-query path planning
Zhang et al. Sim2real learning of obstacle avoidance for robotic manipulators in uncertain environments
Kang et al. Grasp planning for occluded objects in a confined space with lateral view using monte carlo tree search
Lou et al. Collision-aware target-driven object grasping in constrained environments
Bejjani et al. Occlusion-aware search for object retrieval in clutter
Haustein et al. Object placement planning and optimization for robot manipulators
Dearden et al. Manipulation planning using learned symbolic state abstractions
Vieira et al. Persistent homology for effective non-prehensile manipulation
Yang et al. Sequence-based plan feasibility prediction for efficient task and motion planning
Zeng Learning visual affordances for robotic manipulation
Gupta et al. Interactive environment exploration in clutter
Nam et al. Fast and resilient manipulation planning for object retrieval in cluttered and confined environments
Lee et al. Tree search-based task and motion planning with prehensile and non-prehensile manipulation for obstacle rearrangement in clutter
Lin et al. Planning on searching occluded target object with a mobile robot manipulator
Chamzas et al. Learning to retrieve relevant experiences for motion planning
Harada et al. Initial experiments on learning-based randomized bin-picking allowing finger contact with neighboring objects
Imtiaz et al. Comparison of Two Reinforcement Learning Algorithms for Robotic Pick and Place with Non-Visual Sensing
Chhatpar et al. Particle filtering for localization in robotic assemblies with position uncertainty