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Learning ambidextrous robot grasping policies

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What this work says

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

inferredcites →https://doi.org/10.1002/9781118612323openalex-snapshot
Fast Sequential Monte Carlo Methods for Counting and Optimization
inferredcites →https://doi.org/10.1007/978-3-540-30301-5_29openalex-snapshot
Grasping
inferredcites →https://doi.org/10.1007/s10514-013-9365-9openalex-snapshot
An autonomous manipulation system based on force control and optimization
inferredcites →https://doi.org/10.1016/s0004-3702(98)00023-xopenalex-snapshot
Planning and acting in partially observable stochastic domains
inferredcites →https://doi.org/10.1016/s1474-6670(17)38315-5openalex-snapshot
Reinforcement Learning
inferredcites →https://doi.org/10.1017/cbo9780511811685openalex-snapshot
Multiple View Geometry in Computer Vision
inferredcites →https://doi.org/10.1073/pnas.1611835114openalex-snapshot
Overcoming catastrophic forgetting in neural networks
inferredcites →https://doi.org/10.1109/70.795790openalex-snapshot
Part pose statistics: estimators and experiments
inferredcites →https://doi.org/10.1109/coase.2018.8560406openalex-snapshot
Linear Push Policies to Increase Grasp Access for Robot Bin Picking
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/icra.2011.5980567openalex-snapshot
3D is here: Point Cloud Library (PCL)
inferredcites →https://doi.org/10.1109/icra.2012.6224697openalex-snapshot
Pose error robust grasping from contact wrench space metrics
inferredcites →https://doi.org/10.1109/icra.2013.6631180openalex-snapshot
Cloud-based robot grasping with the google object recognition engine
inferredcites →https://doi.org/10.1109/icra.2015.7139793openalex-snapshot
Leveraging big data for grasp planning
inferredcites →https://doi.org/10.1109/icra.2016.7487342openalex-snapshot
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards
inferredcites →https://doi.org/10.1109/icra.2016.7487517openalex-snapshot
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
inferredcites →https://doi.org/10.1109/icra.2017.7989189openalex-snapshot
Grasp quality evaluation done right: How assumed contact force bounds affect Wrench-based quality metrics
inferredcites →https://doi.org/10.1109/icra.2017.7989330openalex-snapshot
Design of parallel-jaw gripper tip surfaces for robust grasping
inferredcites →https://doi.org/10.1109/icra.2018.8460528openalex-snapshot
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
inferredcites →https://doi.org/10.1109/icra.2018.8460875openalex-snapshot
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
inferredcites →https://doi.org/10.1109/icra.2018.8460887openalex-snapshot
Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning
inferredcites →https://doi.org/10.1109/icra.2018.8461044openalex-snapshot
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
inferredcites →https://doi.org/10.1109/icra.2018.8461175openalex-snapshot
Reactive Planar Manipulation with Convex Hybrid MPC
inferredcites →https://doi.org/10.1109/icra.2018.8463191openalex-snapshot
Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge
inferredcites →https://doi.org/10.1109/icra.2019.8793744openalex-snapshot
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
inferredcites →https://doi.org/10.1109/iros.2013.6696854openalex-snapshot
Classical grasp quality evaluation: New algorithms and theory
inferredcites →https://doi.org/10.1109/iros.2016.7759058openalex-snapshot
Contact localization on grasped objects using tactile sensing
inferredcites →https://doi.org/10.1109/iros.2016.7759657openalex-snapshot
Deep learning a grasp function for grasping under gripper pose uncertainty
inferredcites →https://doi.org/10.1109/iros.2017.8202133openalex-snapshot
Domain randomization for transferring deep neural networks from simulation to the real world
inferredcites →https://doi.org/10.1109/iros.2018.8593528openalex-snapshot
Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations
inferredcites →https://doi.org/10.1109/iros.2018.8593986openalex-snapshot
Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/lra.2018.2851026openalex-snapshot
Friction Variability in Planar Pushing Data: Anisotropic Friction and Data-Collection Bias
inferredcites →https://doi.org/10.1109/lra.2018.2852779openalex-snapshot
More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch
inferredcites →https://doi.org/10.1109/tase.2018.2871354openalex-snapshot
Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics
inferredcites →https://doi.org/10.1109/tro.2012.2189498openalex-snapshot
Physical Human Interactive Guidance: Identifying Grasping Principles From Human-Planned Grasps
inferredcites →https://doi.org/10.1109/tro.2013.2289018openalex-snapshot
Data-Driven Grasp Synthesis—A Survey
inferredcites →https://doi.org/10.1163/156855394x00356openalex-snapshot
Tactile sensing and control of robotic manipulation
inferredcites →https://doi.org/10.1177/0278364907087172openalex-snapshot
Robotic Grasping of Novel Objects using Vision
inferredcites →https://doi.org/10.1177/0278364914549607openalex-snapshot
Deep learning for detecting robotic grasps
inferredcites →https://doi.org/10.1177/0278364915592961openalex-snapshot
A novel type of compliant and underactuated robotic hand for dexterous grasping
inferredcites →https://doi.org/10.1177/0278364917710318openalex-snapshot
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
inferredcites →https://doi.org/10.1177/0278364917735594openalex-snapshot
Grasp Pose Detection in Point Clouds
inferredcites →https://doi.org/10.1201/9781315136370openalex-snapshot
A Mathematical Introduction to Robotic Manipulation
inferredcites →https://doi.org/10.15607/rss.2017.xiii.034openalex-snapshot
CAD2RL: Real Single-Image Flight Without a Single Real Image
inferredcites →https://doi.org/10.15607/rss.2017.xiii.058openalex-snapshot
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
inferredcites →https://doi.org/10.15607/rss.2018.xiv.021openalex-snapshot
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
inferredcites →https://doi.org/10.48550/arxiv.1706.04652openalex-snapshot
Learning a visuomotor controller for real world robotic grasping using simulated depth images
inferredcites →https://doi.org/10.48550/arxiv.1707.02267openalex-snapshot
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

What points at this work

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

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VLM-integrated 3D perception model for robust robotic grasping adapted to deformable sacks with arbitrary shapes
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Generalizable task-oriented object grasping through LLM-guided ontology and similarity-based planning
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A review of dual-arm robot manipulation technology: Current status, challenges, and future development directions
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Robotization and intelligent digital systems in the meat cutting industry: From the perspectives of robotic cutting, perception, and digital development
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Selective 6D grasping with a collision avoidance system based on point clouds and RGB+D images
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Soft Sensors and Actuators for Wearable Human–Machine Interfaces
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Piezo robotic hand for motion manipulation from micro to macro
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Nondestructive identification of softness via bioinspired multisensory electronic skins integrated on a robotic hand
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Capturing the objects of vision with neural networks
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Learning the signatures of the human grasp using a scalable tactile glove
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Multichannel haptic feedback unlocks prosthetic hand dexterity
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A tactile oral pad based on carbon nanotubes for multimodal haptic interaction
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Physical human–robot interaction for clinical care in infectious environments
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A roadmap for AI in robotics
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Bioinspired trajectory modulation for effective slip control in robot manipulation
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Continuous learning of emergent behavior in robotic matter
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Active entanglement enables stochastic, topological grasping
inferred← citeshttps://doi.org/10.1080/01691864.2022.2043183openalex-snapshot
MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection
inferred← citeshttps://doi.org/10.1080/01691864.2022.2114297openalex-snapshot
World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator
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The impact of hand parameter optimization on industrial bin picking
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Research on visual servoing technology based on observation at multiple distances
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Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands
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Flexible Electronic Skin for Monitoring of Grasping State During Robotic Manipulation
inferred← citeshttps://doi.org/10.1089/soro.2023.0217openalex-snapshot
Toward Damage-Less Robotic Fragile Fruit Grasping: A Closed-Loop Force Control Method for Pneumatic-Driven Soft Gripper
inferred← citeshttps://doi.org/10.1093/nsr/nwaf583openalex-snapshot
Human-taught sensory-control synergy for universal robotic grasping
inferred← citeshttps://doi.org/10.1093/nsr/nwag351openalex-snapshot
DexAnyTwist: Learning general dexterous twisting with hybrid manipulation system identification
inferred← citeshttps://doi.org/10.1108/aa-11-2020-0180openalex-snapshot
Optimal grasp force for robotic grasping and in-hand manipulation with impedance control
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A cascaded CNN-based method for monocular vision robotic grasping
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Robot skill learning and the data dilemma it faces: a systematic review
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Grasping Field: Learning Implicit Representations for Human Grasps
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Robotic Grasping Based on Deep Learning: A Survey
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Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
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DCG-Net: Dynamic Capsule Graph Convolutional Network for Point Clouds
inferred← citeshttps://doi.org/10.1109/access.2021.3082947openalex-snapshot
Calibration-Free Monocular Vision-Based Robot Manipulations With Occlusion Awareness
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Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving
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RGB-Based Set Prediction Transformer of 6D Pose Estimation for Robotic Grasping Application
inferred← citeshttps://doi.org/10.1109/access.2024.3511546openalex-snapshot
Deformability-Based Grasp Pose Detection From a Visible Image
inferred← citeshttps://doi.org/10.1109/access.2025.3528643openalex-snapshot
Application of Bayesian Optimization in Gripper Design for Effective Grasping
inferred← citeshttps://doi.org/10.1109/access.2025.3574018openalex-snapshot
Approaching Collaborative Manipulation by Pushing-Grasping Fusion
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Development of an Autonomous, Explainable, Robust Robotic System for Electric Vehicle Battery Disassembly
inferred← citeshttps://doi.org/10.1109/aim64088.2025.11175816openalex-snapshot
Design of a Fast Soft Gripper for UAV Based on a Line-Driven Adaptive Entanglement Mechanism
inferred← citeshttps://doi.org/10.1109/airc61399.2024.10671747openalex-snapshot
Adaptive Robotic Grasping with Replay Tail Memory Enhancement
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Design and Implementation of Dynamic Motion Policy for Multi-Sensor Omnidirectional Mobile Arm Robot System in Human-Robot Coexisted Healthcare Workplace
inferred← citeshttps://doi.org/10.1109/aris59192.2023.10268559openalex-snapshot
Online 3D Bin Packing for Novel Objects Based on Deep Reinforcement Learning
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A Learning Framework for Dexterous Manipulation Skills in Multi-Finger Robot Hands
inferred← citeshttps://doi.org/10.1109/cac67268.2025.11487663openalex-snapshot
Semantic-Aware Robotic Grasping in Cluttered Environments via LLM and 3D Vision-Based Prediction
inferred← citeshttps://doi.org/10.1109/case48305.2020.9216733openalex-snapshot
One-Shot Shape-Based Amodal-to-Modal Instance Segmentation
inferred← citeshttps://doi.org/10.1109/case48305.2020.9216740openalex-snapshot
Accelerating Grasp Exploration by Leveraging Learned Priors
inferred← citeshttps://doi.org/10.1109/case48305.2020.9216746openalex-snapshot
Robotic Pick-and-Toss Facilitates Urban Waste Sorting
inferred← citeshttps://doi.org/10.1109/case48305.2020.9216844openalex-snapshot
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking
inferred← citeshttps://doi.org/10.1109/case48305.2020.9216902openalex-snapshot
Industrial Robot Grasping with Deep Learning using a Programmable Logic Controller (PLC)
inferred← citeshttps://doi.org/10.1109/case48305.2020.9216986openalex-snapshot
Robotic Grasping using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/case48305.2020.9217018openalex-snapshot
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms
inferred← citeshttps://doi.org/10.1109/case49439.2021.9551395openalex-snapshot
Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities
inferred← citeshttps://doi.org/10.1109/case49439.2021.9551399openalex-snapshot
Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks
inferred← citeshttps://doi.org/10.1109/case49439.2021.9551628openalex-snapshot
FogROS: An Adaptive Framework for Automating Fog Robotics Deployment
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MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
inferred← citeshttps://doi.org/10.1109/case49997.2022.9926708openalex-snapshot
Towards Object Agnostic and Robust 4-DoF Table-Top Grasping
inferred← citeshttps://doi.org/10.1109/case58245.2025.11163954openalex-snapshot
ORB: Operating Room Bot, Automating Operating Room Logistics through Mobile Manipulation
inferred← citeshttps://doi.org/10.1109/case59546.2024.10711359openalex-snapshot
Design of a Multiple Cilia Inspired Active Entanglement Soft Gripper for Adaptable and Stable Grasping
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Enhancing Robotic Grasp Failure Prediction Using A Pre-hoc Explainability Framework*
inferred← citeshttps://doi.org/10.1109/case69030.2026.11704382openalex-snapshot
Learning Multi-Step Manipulation Using Symmetry-Aware Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/ccdc52312.2021.9601770openalex-snapshot
6-DOF grasp planning of manipulator combined with self-supervised learning
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Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator
inferred← citeshttps://doi.org/10.1109/coase.2019.8842977openalex-snapshot
Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness
inferred← citeshttps://doi.org/10.1109/coase.2019.8843109openalex-snapshot
Robust 2D Assembly Sequencing via Geometric Planning with Learned Scores
inferred← citeshttps://doi.org/10.1109/codit58514.2023.10284269openalex-snapshot
Gripper Design Optimization for Effective Grasping of Diverse Object Geometries
inferred← citeshttps://doi.org/10.1109/crc52766.2021.9620132openalex-snapshot
An End-to-End Spatial Grasp Prediction Model for Humanoid Multi-fingered Hand Using Deep Network
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00852openalex-snapshot
Target-referenced Reactive Grasping for Dynamic Objects
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02040openalex-snapshot
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00187openalex-snapshot
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00932openalex-snapshot
Bilateral Propagation Network for Depth Completion
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01139openalex-snapshot
UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping
inferred← citeshttps://doi.org/10.1109/cyber63482.2024.10748900openalex-snapshot
Kinematic Model Under Different Door Opening Steps Based on the Rigid-Flexible Variable Gripper
inferred← citeshttps://doi.org/10.1109/edpc48408.2019.9011861openalex-snapshot
Machine Learning in Electric Motor Production - Potentials, Challenges and Exemplary Applications
inferred← citeshttps://doi.org/10.1109/eecr64516.2025.11077261openalex-snapshot
Robot Disordered Picking Using Point Pair Feature Algorithm
inferred← citeshttps://doi.org/10.1109/etfa54631.2023.10275481openalex-snapshot
Automated Depth Dataset Generation with Integrated Quality Metrics for Robotic Manipulation
inferred← citeshttps://doi.org/10.1109/etfa54631.2023.10275576openalex-snapshot
Automated Configuration and Flexibilization of Vacuum Grippers
inferred← citeshttps://doi.org/10.1109/etfa61755.2024.10711021openalex-snapshot
Segmentation-Based Approach for a Heuristic Grasping Procedure in Multi-Object Scenes
inferred← citeshttps://doi.org/10.1109/etfa65518.2025.11205589openalex-snapshot
Plug-and-Play One-Shot Object Detection Framework for Industrial Applications
inferred← citeshttps://doi.org/10.1109/hora58378.2023.10155773openalex-snapshot
Variable Grasp Pose and Commitment for Trajectory Optimization
inferred← citeshttps://doi.org/10.1109/humanoids53995.2022.10000118openalex-snapshot
Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate Frames
inferred← citeshttps://doi.org/10.1109/humanoids58906.2024.10769854openalex-snapshot
Generating Dual-Arm Inverse Kinematics Solutions using Latent Variable Models
inferred← citeshttps://doi.org/10.1109/icac70325.2026.11712558openalex-snapshot
Hand Selection Support System for Industrial Two-Fingered Hand
inferred← citeshttps://doi.org/10.1109/icact67549.2025.11351421openalex-snapshot
Optimizing Robotic Manipulation and Grasping Techniques for Complex Tasks Using Reinforcement Learning and Computer Vision
inferred← citeshttps://doi.org/10.1109/icar46387.2019.8981633openalex-snapshot
Task-oriented Function Detection Based on Operational Tasks
inferred← citeshttps://doi.org/10.1109/icara51699.2021.9376455openalex-snapshot
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Artificial Brain
inferred← citeshttps://doi.org/10.1109/icara64554.2025.10977572openalex-snapshot
HILO: A Large-Scale Heterogeneous Object Dataset for Benchmarking Robotic Grasping Approaches
inferred← citeshttps://doi.org/10.1109/icarce59252.2024.10492537openalex-snapshot
Robotic Grasp Detection for Medical Test Tubes Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icce56470.2023.10043452openalex-snapshot
Bin-Picking in the Industry 4.0 Era
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01884openalex-snapshot
ContactGen: Generative Contact Modeling for Grasp Generation
inferred← citeshttps://doi.org/10.1109/icicos62600.2024.10636913openalex-snapshot
PesoBot: Precision Handling of New Philippine Peso Coins Using Vacuum Gripper and YOLOv8 Algorithm
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