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Media Summary: This video supplements the submission of RAL & IROS2019. Supplementary video for RAL2019 submission. Overall demonstration video of the Supplementary video for IROS 2019 submission: Optimization Model for

Multi Fingered Grasp Planning Via - Detailed Analysis & Overview

This video supplements the submission of RAL & IROS2019. Supplementary video for RAL2019 submission. Overall demonstration video of the Supplementary video for IROS 2019 submission: Optimization Model for Speaker: Prof. Dr.-Ing. Julia Starke (University of Lübeck) ... This video demonstrates a novel strategy called Presentation for Future of Tactile Sensing Workshop held Nov. 15-16 2021.

This is a video supplement to the book "Modern Robotics: Mechanics, The Visual Computer 2010 Paper by Peng Song, Zhongqi Fu, and Ligang Liu. Authors: Andrew Morgan*, Kaiyu Hang*, Bowen Wen, Kostas Bekris, and Aaron Dollar Journal: IEEE Robotics and Automation ... 6.412 projcet video of Yuxiang Ma. Implementing antipodal For CS498IR: AI for Robotic Manipulation Spring 2021, University of Illinois at Urbana-Champaign Instructor: Kris Hauser ... Authors: Kaiyu Hang, Andrew S. Morgan, and Aaron M. Dollar Abstract: We address the problem of pregrasp sliding manipulation, ...

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Multi-Fingered Grasp Planning via Inference in Deep Neural Networks
Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand
Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting
Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting
Optimization Model for Planning Precision Grasps with Multi-Fingered Hands
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Multi-Fingered Active Grasp Learning
Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes [Full]
RIG LectureSeries 2026 - Grasping with Multi-Fingered Hands in Humans and Robots
Real-Time Grasp Planning for Multi-Fingered Hands by Finger Splitting
Allen Peter Multi Fingered Adaptive Tactile Grasping
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Multi-Fingered Grasp Planning via Inference in Deep Neural Networks

Multi-Fingered Grasp Planning via Inference in Deep Neural Networks

Grasping

Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand

Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand

Grasping

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Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting

Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting

This video supplements the submission of RAL & IROS2019.

Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting

Efficient Grasp Planning and Execution with Multi-Fingered Hands by Surface Fitting

Supplementary video for RAL2019 submission. Overall demonstration video of the

Optimization Model for Planning Precision Grasps with Multi-Fingered Hands

Optimization Model for Planning Precision Grasps with Multi-Fingered Hands

Supplementary video for IROS 2019 submission: Optimization Model for

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Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes

Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes

Pixel-Attentive Policy Gradient for

Multi-Fingered Active Grasp Learning

Multi-Fingered Active Grasp Learning

Grasping

Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network

Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network

Video associated with ISRR 2017 paper: "

Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes [Full]

Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes [Full]

Pixel-Attentive Policy Gradient for

RIG LectureSeries 2026 - Grasping with Multi-Fingered Hands in Humans and Robots

RIG LectureSeries 2026 - Grasping with Multi-Fingered Hands in Humans and Robots

Speaker: Prof. Dr.-Ing. Julia Starke (University of Lübeck) ...

Real-Time Grasp Planning for Multi-Fingered Hands by Finger Splitting

Real-Time Grasp Planning for Multi-Fingered Hands by Finger Splitting

This video demonstrates a novel strategy called

Allen Peter Multi Fingered Adaptive Tactile Grasping

Allen Peter Multi Fingered Adaptive Tactile Grasping

Presentation for Future of Tactile Sensing Workshop held Nov. 15-16 2021.

Real-time Grasp Planning based on Motion Field Graph for Human-Robot Cooperation

Real-time Grasp Planning based on Motion Field Graph for Human-Robot Cooperation

We present a real-time framework for

Modern Robotics, Chapter 12:  Grasping and Manipulation

Modern Robotics, Chapter 12: Grasping and Manipulation

This is a video supplement to the book "Modern Robotics: Mechanics,

Grasp Planning via Hand-Object Geometric Fitting

Grasp Planning via Hand-Object Geometric Fitting

The Visual Computer 2010 Paper by Peng Song, Zhongqi Fu, and Ligang Liu.

Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning

Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning

Authors: Andrew Morgan*, Kaiyu Hang*, Bowen Wen, Kostas Bekris, and Aaron Dollar Journal: IEEE Robotics and Automation ...

Multi-finger Grasping: Generating Antipodal Grasping with Allegro Hand

Multi-finger Grasping: Generating Antipodal Grasping with Allegro Hand

6.412 projcet video of Yuxiang Ma. Implementing antipodal

CS498IR Offline Lecture 7: Grasp Planning

CS498IR Offline Lecture 7: Grasp Planning

For CS498IR: AI for Robotic Manipulation Spring 2021, University of Illinois at Urbana-Champaign Instructor: Kris Hauser ...

Pre-Grasp Sliding Manipulation of Thin Objects Using Soft, Compliant, or Underactuated Hands

Pre-Grasp Sliding Manipulation of Thin Objects Using Soft, Compliant, or Underactuated Hands

Authors: Kaiyu Hang, Andrew S. Morgan, and Aaron M. Dollar Abstract: We address the problem of pregrasp sliding manipulation, ...

Grasp Planning Experiment: MDISF-GTO

Grasp Planning Experiment: MDISF-GTO

Experimental Results of the

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