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Semantic grasping: Planning robotic grasps functionally suitable for an object manipulation task

https://doi.org/10.1109/iros.2012.6385563
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-19315-6_11openalex-snapshot
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
inferredcites →https://doi.org/10.1007/s10514-011-9228-1openalex-snapshot
Data-driven grasping
inferredcites →https://doi.org/10.1016/j.robot.2010.01.003openalex-snapshot
A strategy for grasping unknown objects based on co-planarity and colour information
inferredcites →https://doi.org/10.1038/nrn1744openalex-snapshot
The neuroscience of grasping
inferredcites →https://doi.org/10.1109/34.993558openalex-snapshot
Shape matching and object recognition using shape contexts
inferredcites →https://doi.org/10.1109/56.769openalex-snapshot
Task-oriented optimal grasping by multifingered robot hands
inferredcites →https://doi.org/10.1109/cira.2005.1554357openalex-snapshot
Task-Oriented Quality Measures for Dextrous Grasping
inferredcites →https://doi.org/10.1109/ichr.2008.4755944openalex-snapshot
Grasp synthesis in cluttered environments for dexterous hands
inferredcites →https://doi.org/10.1109/ichr.2008.4756026openalex-snapshot
Preparatory object rotation as a human-inspired grasping strategy
inferredcites →https://doi.org/10.1109/icra.2011.5979632openalex-snapshot
Part-based robot grasp planning from human demonstration
inferredcites →https://doi.org/10.1109/iros.2009.5354105openalex-snapshot
A hybrid approach for grasping 3D objects
inferredcites →https://doi.org/10.1109/iros.2010.5649406openalex-snapshot
Learning task constraints for robot grasping using graphical models
inferredcites →https://doi.org/10.1109/iros.2010.5651244openalex-snapshot
Robot learning of everyday object manipulations via human demonstration
inferredcites →https://doi.org/10.1109/mra.2004.1371616openalex-snapshot
GraspIt!
inferredcites →https://doi.org/10.1109/robot.1992.219918openalex-snapshot
Planning optimal grasps
inferredcites →https://doi.org/10.1109/robot.2007.363582openalex-snapshot
Task-Oriented Grasping using Hand Preshapes and Task Frames
inferredcites →https://doi.org/10.1109/robot.2010.5509126openalex-snapshot
Refining grasp affordance models by experience
inferredcites →https://doi.org/10.1109/tvcg.2007.1033openalex-snapshot
Data-Driven Grasp Synthesis Using Shape Matching and Task-Based Pruning
inferredcites →https://doi.org/10.1109/whc.2007.103openalex-snapshot
Soft Finger Model with Adaptive Contact Geometry for Grasping and Manipulation Tasks
inferredcites →https://doi.org/10.1177/0278364909105606openalex-snapshot
Hand Posture Subspaces for Dexterous Robotic Grasping
inferredcites →https://doi.org/10.1177/0278364910370218openalex-snapshot
Synthesizing grasp configurations with specified contact regions
inferredcites →https://doi.org/10.15607/rss.2009.v.002openalex-snapshot
Learning of 2D grasping strategies from box-based 3D object approximations
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0156openalex-snapshot
Robotic Grasping of Novel Objects

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Grasp Pose Detection Network Based on the DeepLabv3+ Semantic Segmentation Model
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What We Make When We Make Information Architecture
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Robobarista: Object Part Based Transfer of Manipulation Trajectories from Crowd-Sourcing in 3D Pointclouds
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Relational Affordance Learning for Task-Dependent Robot Grasping
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Complete Robotic Systems for the IROS Grasping and Manipulation Challenge
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High Efficiency Digital Design Simulation Method for Dual-Arm Dexterous Robot
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GI-Grasp: Target-Oriented 6DoF Grasping Strategy with Grasp Intuition Based on Vision-Language Models
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A robotic manipulation framework for industrial human–robot collaboration based on continual knowledge graph embedding
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Transferring the semantic constraints in human manipulation behaviors to robots
inferred← citeshttps://doi.org/10.1007/s10514-014-9391-2openalex-snapshot
Semantic grasping: planning task-specific stable robotic grasps
inferred← citeshttps://doi.org/10.1007/s10514-018-9748-zopenalex-snapshot
Multi-robot grasp planning for sequential assembly operations
inferred← citeshttps://doi.org/10.1007/s10514-018-9784-8openalex-snapshot
Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach
inferred← citeshttps://doi.org/10.1007/s10514-020-09930-zopenalex-snapshot
Manipulation planning under changing external forces
inferred← citeshttps://doi.org/10.1007/s10514-021-09983-8openalex-snapshot
Annotation scaffolds for manipulating articulated objects
inferred← citeshttps://doi.org/10.1007/s11370-026-00707-4openalex-snapshot
Oracle-grasp: zero-shot affordance-aligned robotic grasping using large multimodal models
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A semantic knowledge-based method for home service robot to grasp an object
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Category-based task specific grasping
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A Survey of Knowledge Representation in Service Robotics
inferred← citeshttps://doi.org/10.1016/j.robot.2026.105442openalex-snapshot
Generalizable task-oriented object grasping through LLM-guided ontology and similarity-based planning
inferred← citeshttps://doi.org/10.1088/1742-6596/1302/3/032031openalex-snapshot
From Verb to Action: A Mechanics-based Approach for Trajectory-Pattern Interpretation of Manipulation Verbs
inferred← citeshttps://doi.org/10.1109/aim.2015.7222500openalex-snapshot
Unknown object grasping using force balance exploration on a partial point cloud
inferred← citeshttps://doi.org/10.1109/humanoids.2013.7029978openalex-snapshot
Dexterous reaching, grasp transfer and planning using electrostatic representations
inferred← citeshttps://doi.org/10.1109/humanoids.2017.8239542openalex-snapshot
Affordance detection for task-specific grasping using deep learning
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A Study on the Influence of Task Dependent Anthropomorphic Grasping Poses for Everyday Objects
inferred← citeshttps://doi.org/10.1109/icacr68388.2025.11360048openalex-snapshot
Cross-Domain Grasp Pose Detection: GAN-Based Transfer Learning with the Industrial Parts Dataset
inferred← citeshttps://doi.org/10.1109/icarcv.2016.7838637openalex-snapshot
Unknown object grasping by using concavity
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01545openalex-snapshot
Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand
inferred← citeshttps://doi.org/10.1109/icet61945.2024.10673130openalex-snapshot
7-DoF Grasping Pose Estimation Based on Advanced Feature Aggregation Mechanism
inferred← citeshttps://doi.org/10.1109/icra.2014.6907697openalex-snapshot
Representations for cross-task, cross-object grasp transfer
inferred← citeshttps://doi.org/10.1109/icra.2015.7138999openalex-snapshot
Multi-robot grasp planning for sequential assembly operations
inferred← citeshttps://doi.org/10.1109/icra.2015.7139884openalex-snapshot
Functional power grasps transferred through warping and replanning
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Task-Specific Sensor Planning for Robotic Assembly Tasks
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CAGE: Context-Aware Grasping Engine
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Deep Affordance Foresight: Planning Through What Can Be Done in the Future
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RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
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A Joint Network for Grasp Detection Conditioned on Natural Language Commands
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Joint Segmentation and Grasp Pose Detection with Multi-Modal Feature Fusion Network
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A Surprisingly Efficient Representation for Multi-Finger Grasping
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Probabilistic object tracking using a range camera
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Fast grasping of unknown objects using force balance optimization
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Task-oriented grasping with semantic and geometric scene understanding
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A Framework for Robot Grasp Transferring with Non-rigid Transformation
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optimization Model for Planning Precision Grasps with Multi-Fingered Hands
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ACEFusion - Accelerated and Energy-Efficient Semantic 3D Reconstruction of Dynamic Scenes
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Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
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SemSegGrasp: Plug-and-play Task-oriented Grasping via Semantic Segmentation
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Fingertip Surface Optimization for Robust Grasping on Contact Primitives
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Exercising Affordances of Objects: A Part-Based Approach
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Semantic Grasping Via a Knowledge Graph of Robotic Manipulation: A Graph Representation Learning Approach
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GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping
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High Precision 6-DoF Grasp Detection in Cluttered Scenes Based on Network Optimization and Pose Propagation
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CFPGrasp: Coarse-to-Fine Prediction Network for 6-DoF Robotic Grasping With Improved Grasp Representation
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Modeling of everyday objects for semantic grasp
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Real-time Object Detection and Grasping Using Background Subtraction in an Industrial Scenario
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Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning
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Data-Driven Grasp Synthesis—A Survey
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Learning Human-Like Functional Grasping for Multifinger Hands From Few Demonstrations
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Trade-offs in Virtual Grasping: The Interplay of Interaction Fidelity and Object Affordance
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DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping
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Annotation Scaffolds for Object Modeling and Manipulation
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Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics
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S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
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Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
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Learning to Grasp in Robotics with Quality-Diversity Generated Data
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