Top Manufacturing papers

Find all the Top AIManufacturing papers. Links to pdf, code repos and demos are provided.

•

over 1 year ago

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions

Michael. I. Jordan, Anastasios Nikolas Angelopoulos, Jordan Lekeufack + 2 more

We introduce Conformal Decision Theory, a framework for producing safe autonomous decisions despite imperfect machine learning predictions. Examples o...
see more

Computer Vision

almost 9 years ago

Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance

Vivek Sharma, Luc van Gool, Sule Yildirim Yayilgan

We propose a low cost and effective way to combine a free simulation software and free CAD models for modeling human-object interaction in order to im...
see more

Computer Vision

almost 4 years ago

Towards Total Recall in Industrial Anomaly Detection

CVPR • Bernhard Schoelkopf, Peter Vincent Gehler, Karsten Roth + 3 more

Presents PatchCore, a novel algorithm designed for cold-start anomaly detection in industrial settings, where only non-defective images are available ...
see more

Language

about 1 year ago

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Quan Ho Vuong, Soroush Nasiriany, Fei Xia + 20 more

Introduces PIVOT, an iterative visual prompting methodology that enables vision-language models (VLMs) to produce actionable outputs for spatial tasks...
see more

almost 2 years ago

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Tony Z. Zhao, Vikash Kumar, Sergey Levine + 1 more

Explores the potential of low-cost robotic systems to perform fine manipulation tasks through imitation learning. It introduces a novel algorithm, Act...
see more

Multimodal

almost 7 years ago

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

Roberto Calandra, Andrew Owens, Dinesh Jayaraman + 5 more

Addresses the limitations of current robotic grasping techniques that rely solely on visual input by introducing a method that incorporates tactile fe...
see more

Computer Vision

almost 6 years ago

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards

Gerrit Schoettler, Ashvin Nair, Jianlan Luo + 4 more

Explores the application of deep reinforcement learning (RL) for performing complex industrial insertion tasks, specifically in environments with visu...
see more

over 9 years ago

One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors

Justin Fu, Sergey Levine, Pieter Abbeel

Introduces a novel model-based reinforcement learning algorithm designed for robotic manipulation tasks that significantly reduces the amount of exper...
see more

almost 7 years ago

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Dmitry Kalashnikov, Peter Pastor, Julian Ibarz + 8 more

Presents QT-Opt, a scalable deep reinforcement learning framework designed for learning vision-based dynamic manipulation skills, specifically focusin...
see more

#10

over 7 years ago

Sim2Real View Invariant Visual Servoing by Recurrent Control

Fereshteh Sadeghi, Alexander Toshev, Eric Jang + 1 more

Addresses the challenge of viewpoint-invariant visual servoing in robotic manipulation, proposing an innovative deep recurrent controller that learns ...
see more

#11

about 4 years ago

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar + 5 more

Presents MT-Opt, a novel approach to continuous multi-task robotic reinforcement learning that allows robotic systems to learn a diverse set of skills...
see more

#12

over 8 years ago

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Sergey Levine, Ethan Holly, Timothy P. Lillicrap + 1 more

Explores the application of deep reinforcement learning (DRL) in robotic manipulation, specifically focusing on improving training efficiency for real...
see more

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Top Manufacturing papers

Find all the Top AIManufacturing papers. Links to pdf, code repos and demos are provided.

•

over 1 year ago

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions

Michael. I. Jordan, Anastasios Nikolas Angelopoulos, Jordan Lekeufack + 2 more

We introduce Conformal Decision Theory, a framework for producing safe autonomous decisions despite imperfect machine learning predictions. Examples o...
see more

Computer Vision

almost 9 years ago

Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance

Vivek Sharma, Luc van Gool, Sule Yildirim Yayilgan

We propose a low cost and effective way to combine a free simulation software and free CAD models for modeling human-object interaction in order to im...
see more

Computer Vision

almost 4 years ago

Towards Total Recall in Industrial Anomaly Detection

CVPR • Bernhard Schoelkopf, Peter Vincent Gehler, Karsten Roth + 3 more

Presents PatchCore, a novel algorithm designed for cold-start anomaly detection in industrial settings, where only non-defective images are available ...
see more

Language

about 1 year ago

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Quan Ho Vuong, Soroush Nasiriany, Fei Xia + 20 more

Introduces PIVOT, an iterative visual prompting methodology that enables vision-language models (VLMs) to produce actionable outputs for spatial tasks...
see more

almost 2 years ago

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Tony Z. Zhao, Vikash Kumar, Sergey Levine + 1 more

Explores the potential of low-cost robotic systems to perform fine manipulation tasks through imitation learning. It introduces a novel algorithm, Act...
see more

Multimodal

almost 7 years ago

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

Roberto Calandra, Andrew Owens, Dinesh Jayaraman + 5 more

Addresses the limitations of current robotic grasping techniques that rely solely on visual input by introducing a method that incorporates tactile fe...
see more

Computer Vision

almost 6 years ago

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards

Gerrit Schoettler, Ashvin Nair, Jianlan Luo + 4 more

Explores the application of deep reinforcement learning (RL) for performing complex industrial insertion tasks, specifically in environments with visu...
see more

over 9 years ago

One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors

Justin Fu, Sergey Levine, Pieter Abbeel

Introduces a novel model-based reinforcement learning algorithm designed for robotic manipulation tasks that significantly reduces the amount of exper...
see more

almost 7 years ago

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Dmitry Kalashnikov, Peter Pastor, Julian Ibarz + 8 more

Presents QT-Opt, a scalable deep reinforcement learning framework designed for learning vision-based dynamic manipulation skills, specifically focusin...
see more

#10

over 7 years ago

Sim2Real View Invariant Visual Servoing by Recurrent Control

Fereshteh Sadeghi, Alexander Toshev, Eric Jang + 1 more

Addresses the challenge of viewpoint-invariant visual servoing in robotic manipulation, proposing an innovative deep recurrent controller that learns ...
see more

#11

about 4 years ago

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar + 5 more

Presents MT-Opt, a novel approach to continuous multi-task robotic reinforcement learning that allows robotic systems to learn a diverse set of skills...
see more

#12

over 8 years ago

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Sergey Levine, Ethan Holly, Timothy P. Lillicrap + 1 more

Explores the application of deep reinforcement learning (DRL) in robotic manipulation, specifically focusing on improving training efficiency for real...
see more