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Physics-Based Grasp Planning Through Clutter
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-68405-3_6openalex-snapshot
An Effective Framework for Path Planning Amidst Movable Obstacles
inferredcites →https://doi.org/10.1007/978-3-540-68405-3_8openalex-snapshot
Planning Among Movable Obstacles with Artificial Constraints
inferredcites →https://doi.org/10.1007/978-3-642-00312-7_37openalex-snapshot
Path Planning among Movable Obstacles: A Probabilistically Complete Approach
inferredcites →https://doi.org/10.1007/bf01530890openalex-snapshot
Motion planning in the presence of movable obstacles
inferredcites →https://doi.org/10.1007/bf01891843openalex-snapshot
Issues in computing contact forces for non-penetrating rigid bodies
inferredcites →https://doi.org/10.1016/0043-1648(91)90104-3openalex-snapshot
Planar sliding with dry friction Part 1. Limit surface and moment function
inferredcites →https://doi.org/10.1109/3477.718517openalex-snapshot
To push or not to push: on the rearrangement of movable objects by a mobile robot
inferredcites →https://doi.org/10.1109/70.704220openalex-snapshot
Practical pushing planning for rearrangement tasks
inferredcites →https://doi.org/10.1109/iccv.2011.6126544openalex-snapshot
ORB: An efficient alternative to SIFT or SURF
inferredcites →https://doi.org/10.1109/iros.1992.587370openalex-snapshot
Manipulation And Active Sensing By Pushing Using Tactile Feedback
inferredcites →https://doi.org/10.1109/robot.1991.131618openalex-snapshot
Practical path planning among movable obstacles
inferredcites →https://doi.org/10.1109/robot.2007.363986openalex-snapshot
Manipulation Planning Among Movable Obstacles
inferredcites →https://doi.org/10.1109/robot.2009.5152709openalex-snapshot
The Columbia grasp database
inferredcites →https://doi.org/10.1145/73393.73422openalex-snapshot
Motion planning in the presence of movable obstacles
inferredcites →https://doi.org/10.1177/027836498600500303openalex-snapshot
Mechanics and Planning of Manipulator Pushing Operations
inferredcites →https://doi.org/10.1177/027836499601500602openalex-snapshot
Stable Pushing: Mechanics, Controllability, and Planning
inferredcites →https://doi.org/10.1177/027836499601500603openalex-snapshot
Practical Force-Motion Models for Sliding Manipulation
inferredcites →https://doi.org/10.15607/rss.2011.vii.009openalex-snapshot
A Framework for Push-Grasping in Clutter
inferredcites →https://doi.org/10.48550/arxiv.1304.6146openalex-snapshot
Manipulation in Clutter with Whole-Arm Tactile Sensing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-29933-0_11openalex-snapshot
Single-Grasp Detection Based on Rotational Region CNN
inferred← citeshttps://doi.org/10.1007/978-3-030-36150-1_16openalex-snapshot
Visual and Tactile Fusion for Estimating the Pose of a Grasped Object
inferred← citeshttps://doi.org/10.1007/978-3-030-43089-4_27openalex-snapshot
Synthesis of Energy-Bounded Planar Caging Grasps using Persistent Homology
inferred← citeshttps://doi.org/10.1007/978-3-030-43089-4_49openalex-snapshot
Configuration Lattices for Planar Contact Manipulation Under Uncertainty
inferred← citeshttps://doi.org/10.1007/978-3-030-44051-0_10openalex-snapshot
Pushing Fast and Slow: Task-Adaptive Planning for Non-prehensile Manipulation Under Uncertainty
inferred← citeshttps://doi.org/10.1007/978-3-319-10602-1_43openalex-snapshot
Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects
inferred← citeshttps://doi.org/10.1007/978-3-319-28872-7_22openalex-snapshot
Manifold Representations for State Estimation in Contact Manipulation
inferred← citeshttps://doi.org/10.1007/978-3-319-70833-1_41openalex-snapshot
Knowledge-Oriented Physics-Based Motion Planning for Grasping Under Uncertainty
inferred← citeshttps://doi.org/10.1007/978-3-642-45062-4_41openalex-snapshot
Learning Semantic Interaction among Graspable Objects
inferred← citeshttps://doi.org/10.1007/978-981-15-1816-4_9openalex-snapshot
Enabling Robust and Autonomous Materialhandling in Logistics Through Applied Deep Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-99-0617-8_28openalex-snapshot
Center-of-Mass-Based Regrasping of Unknown Objects Using Reinforcement Learning and Tactile Sensing
inferred← citeshttps://doi.org/10.1007/s10514-023-10137-1openalex-snapshot
FuseBot: mechanical search of rigid and deformable objects via multi-modal perception
inferred← citeshttps://doi.org/10.1007/s10846-015-0330-zopenalex-snapshot
Single and Multiple View Support Order Prediction in Clutter for Manipulation
inferred← citeshttps://doi.org/10.1007/s10846-017-0698-zopenalex-snapshot
κ-PMP: Enhancing Physics-based Motion Planners with Knowledge-Based Reasoning
inferred← citeshttps://doi.org/10.1007/s11370-019-00286-7openalex-snapshot
Self-supervised damage-avoiding manipulation strategy optimization via mental simulation
inferred← citeshttps://doi.org/10.1007/s40815-018-00604-8openalex-snapshot
Adaptive Fuzzy Gaussian Mixture Models for Shape Approximation in Robot Grasping
inferred← citeshttps://doi.org/10.1016/j.compag.2020.105397openalex-snapshot
An obstacle separation method for robotic picking of fruits in clusters
inferred← citeshttps://doi.org/10.1016/j.compag.2025.109968openalex-snapshot
A review on the recent developments in vision-based apple-harvesting robots for recognizing fruit and picking pose
inferred← citeshttps://doi.org/10.1016/j.robot.2014.12.014openalex-snapshot
Support relation analysis and decision making for safe robotic manipulation tasks
inferred← citeshttps://doi.org/10.1016/j.robot.2025.105091openalex-snapshot
Task and Motion Planning for grasping targets with object rearrangement in confined workspaces
inferred← citeshttps://doi.org/10.1080/01691864.2020.1757504openalex-snapshot
Learning efficient push and grasp policy in a totebox from simulation
inferred← citeshttps://doi.org/10.1080/01691864.2021.1948446openalex-snapshot
Modeling object arrangement patterns and picking arranged objects
inferred← citeshttps://doi.org/10.1109/access.2023.3323220openalex-snapshot
Graph Learning in Robotics: A Survey
inferred← citeshttps://doi.org/10.1109/cacs.2018.8606731openalex-snapshot
Robotic Grasping Estimation by Evolutionary Deep Networks
inferred← citeshttps://doi.org/10.1109/coase.2016.7743442openalex-snapshot
Privacy-preserving Grasp Planning in the Cloud
inferred← citeshttps://doi.org/10.1109/coase.2016.7743488openalex-snapshot
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations
inferred← citeshttps://doi.org/10.1109/coase.2016.7743541openalex-snapshot
Initial experiments on learning-based randomized bin-picking allowing finger contact with neighboring objects
inferred← citeshttps://doi.org/10.1109/coase.2018.8560406openalex-snapshot
Linear Push Policies to Increase Grasp Access for Robot Bin Picking
inferred← citeshttps://doi.org/10.1109/coase.2019.8843111openalex-snapshot
Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts
inferred← citeshttps://doi.org/10.1109/etfa.2015.7301404openalex-snapshot
Ontological physics-based motion planning for manipulation
inferred← citeshttps://doi.org/10.1109/humanoids.2016.7803404openalex-snapshot
Physically plausible scene estimation for manipulation in clutter
inferred← citeshttps://doi.org/10.1109/humanoids.2018.8624977openalex-snapshot
Planning with a Receding Horizon for Manipulation in Clutter Using a Learned Value Function
inferred← citeshttps://doi.org/10.1109/humanoids.2018.8625041openalex-snapshot
Real-Time Online Re-Planning for Grasping Under Clutter and Uncertainty
inferred← citeshttps://doi.org/10.1109/icarm49381.2020.9195274openalex-snapshot
Grasp Detection Based on Faster Region CNN
inferred← citeshttps://doi.org/10.1109/icra.2015.7139535openalex-snapshot
Nonprehensile whole arm rearrangement planning on physics manifolds
inferred← citeshttps://doi.org/10.1109/icra.2016.7487351openalex-snapshot
Object discovery and grasp detection with a shared convolutional neural network
inferred← citeshttps://doi.org/10.1109/icra.2016.7487689openalex-snapshot
Making objects graspable in confined environments through push and pull manipulation with a tool
inferred← citeshttps://doi.org/10.1109/icra.2017.7989544openalex-snapshot
Unobservable Monte Carlo planning for nonprehensile rearrangement tasks
inferred← citeshttps://doi.org/10.1109/icra.2018.8460535openalex-snapshot
Scene Recognition and Object Detection in a Unified Convolutional Neural Network on a Mobile Manipulator
inferred← citeshttps://doi.org/10.1109/icra.2018.8462892openalex-snapshot
Reliably Arranging Objects in Uncertain Domains
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196689openalex-snapshot
Non-Prehensile Manipulation in Clutter with Human-In-The-Loop
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197451openalex-snapshot
Planning with Selective Physics-based Simulation for Manipulation Among Movable Objects
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560844openalex-snapshot
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560956openalex-snapshot
Robotic Grasping of Fully-Occluded Objects using RF Perception
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561065openalex-snapshot
Analysis of Open-Loop Grasping From Piles
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561073openalex-snapshot
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561221openalex-snapshot
Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561609openalex-snapshot
Semi-Infinite Programming with Complementarity Constraints for Pose Optimization with Pervasive Contact
inferred← citeshttps://doi.org/10.1109/insai54028.2021.00023openalex-snapshot
A geometric inference framework based on physical blocks for ordered grasping robots in clutter
inferred← citeshttps://doi.org/10.1109/iros.2013.6696444openalex-snapshot
Learning support order for manipulation in clutter
inferred← citeshttps://doi.org/10.1109/iros.2013.6697009openalex-snapshot
Pose estimation for contact manipulation with manifold particle filters
inferred← citeshttps://doi.org/10.1109/iros.2014.6942936openalex-snapshot
Real-time object pose recognition and tracking with an imprecisely calibrated moving RGB-D camera
inferred← citeshttps://doi.org/10.1109/iros.2015.7353743openalex-snapshot
Robust trajectory selection for rearrangement planning as a multi-armed bandit problem
inferred← citeshttps://doi.org/10.1109/iros.2015.7353774openalex-snapshot
Integrating physics-based prediction with Semantic plan Execution Monitoring
inferred← citeshttps://doi.org/10.1109/iros.2016.7759159openalex-snapshot
Physics-based damage-aware manipulation strategy planning using Scene Dynamics Anticipation
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Strategy-based robotic item picking from shelves
inferred← citeshttps://doi.org/10.1109/iros.2018.8594425openalex-snapshot
Efficient Model Identification for Tensegrity Locomotion
inferred← citeshttps://doi.org/10.1109/iros40897.2019.8967717openalex-snapshot
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9340689openalex-snapshot
Environment-Aware Grasp Strategy Planning in Clutter for a Variable Stiffness Hand
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9341468openalex-snapshot
A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9636629openalex-snapshot
Mechanical Search on Shelves using Lateral Access X-RAY
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9636782openalex-snapshot
Planning Robotic Manipulation with Tight Environment Constraints
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246108openalex-snapshot
Env-Mani: Quadrupedal Robot Loco-Manipulation with Environment-in-the-Loop
inferred← citeshttps://doi.org/10.1109/lra.2017.2783445openalex-snapshot
Randomized Physics-Based Motion Planning for Grasping in Cluttered and Uncertain Environments
inferred← citeshttps://doi.org/10.1109/lra.2020.3006826openalex-snapshot
Online Replanning With Human-in-the-Loop for Non-Prehensile Manipulation in Clutter — A Trajectory Optimization Based Approach
inferred← citeshttps://doi.org/10.1109/lra.2021.3092640openalex-snapshot
Efficient Learning of Goal-Oriented Push-Grasping Synergy in Clutter
inferred← citeshttps://doi.org/10.1109/lra.2022.3198797openalex-snapshot
Automated Design of Embedded Constraints for Soft Hands Enabling New Grasp Strategies
inferred← citeshttps://doi.org/10.1109/tase.2018.2831724openalex-snapshot
Synthesis of Energy-Bounded Planar Caging Grasps Using Persistent Homology
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PLOT: Human-Like Push-Grasping Synergy Learning in Clutter With One-Shot Target Recognition
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Robotic Objects Detection and Grasping in Clutter Based on Cascaded Deep Convolutional Neural Network
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Development of a Method for Robotic Sorting of Metal Objects
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Center-of-Mass-Based Object Regrasping: A Reinforcement Learning Approach and the Effects of Perception Modality
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Interactive Perception: Leveraging Action in Perception and Perception in Action
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A topological approach to using cables to separate and manipulate sets of objects
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Pose estimation for planar contact manipulation with manifold particle filters
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Goal-directed robot manipulation through axiomatic scene estimation
inferred← citeshttps://doi.org/10.1177/02783649241301443openalex-snapshot
Shared visuo-tactile interactive perception for robust object pose estimation
inferred← citeshttps://doi.org/10.3390/app10030804openalex-snapshot
Object-Independent Grasping in Heavy Clutter
inferred← citeshttps://doi.org/10.3390/app9173536openalex-snapshot
Singulation of Objects in Cluttered Environment Using Dynamic Estimation of Physical Properties
inferred← citeshttps://doi.org/10.3390/robotics10010004openalex-snapshot
Optimal Grasping Pose Synthesis in a Constrained Environment
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Shelf Replenishment Based on Object Arrangement Detection and Collapse Prediction for Bimanual Manipulation
inferred← citeshttps://doi.org/10.7210/jrsj.31.353openalex-snapshot
Physics-Based Manipulation in Human Environments
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