Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 12, Issue 2, Pages 937
Publisher
MDPI AG
Online
2022-01-18
DOI
10.3390/app12020937
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Imitation learning-based framework for learning 6-D linear compliant motions
- (2021) Markku Suomalainen et al. AUTONOMOUS ROBOTS
- Machine Learning for industrial applications: a comprehensive literature review
- (2021) Massimo Bertolini et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Reinforcement Learning Based Moving Object Grasping
- (2021) Pengzhan Chen et al. INFORMATION SCIENCES
- Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning
- (2021) Jiang Hua et al. SENSORS
- A survey on deep learning and its applications
- (2021) Shi Dong et al. Computer Science Review
- Living Object Grasping Using Two-Stage Graph Reinforcement Learning
- (2021) Zhe Hu et al. IEEE Robotics and Automation Letters
- Improved Learning of Robot Manipulation Tasks Via Tactile Intrinsic Motivation
- (2021) Nikola Vulin et al. IEEE Robotics and Automation Letters
- Sustainable and Smart Manufacturing: An Integrated Approach
- (2020) Mohamed Abubakr et al. Sustainability
- Design of a Deep Post Gripping Perception Framework for Industrial Robots
- (2020) Firas Zoghlami et al. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
- Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots
- (2020) Cristian Camilo Beltran-Hernandez et al. IEEE Robotics and Automation Letters
- “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
- (2020) Andrew Hundt et al. IEEE Robotics and Automation Letters
- On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
- (2020) HeeSun Choi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A State-of-the-Art Survey on Deep Learning Theory and Architectures
- (2019) Md Zahangir Alom et al. Electronics
- The smart factory as a key construct of industry 4.0: A systematic literature review
- (2019) Philipp Osterrieder et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Human–Robot Collaboration Acceptance Model: Development and Comparison for Germany, Japan, China and the USA
- (2019) Christina Bröhl et al. International Journal of Social Robotics
- What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics
- (2019) M. Fujita et al. ADVANCED ROBOTICS
- A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective
- (2019) Yuji Roh et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Skill learning and action recognition by arc-length dynamic movement primitives
- (2018) Timotej Gašpar et al. ROBOTICS AND AUTONOMOUS SYSTEMS
- A Method on Dynamic Path Planning for Robotic Manipulator Autonomous Obstacle Avoidance Based on an Improved RRT Algorithm
- (2018) Kun Wei et al. SENSORS
- Artificial Tactile Sensor Structure for Surface Topography through Sliding
- (2018) Kwonsik Shin et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Recognition and Pose Estimation of Auto Parts for an Autonomous Spray Painting Robot
- (2018) Weiyang Lin et al. IEEE Transactions on Industrial Informatics
- Deep Reinforcement Learning: A Brief Survey
- (2017) Kai Arulkumaran et al. IEEE SIGNAL PROCESSING MAGAZINE
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
- (2017) Sergey Levine et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Smart manufacturing: Characteristics, technologies and enabling factors
- (2017) Sameer Mittal et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
- Intelligent Manufacturing in the Context of Industry 4.0: A Review
- (2017) Ray Y. Zhong et al. Engineering
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Deep learning for detecting robotic grasps
- (2015) Ian Lenz et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Reinforcement learning in robotics: A survey
- (2013) Jens Kober et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Recent progress on programming methods for industrial robots
- (2011) Zengxi Pan et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Policy search for motor primitives in robotics
- (2010) Jens Kober et al. MACHINE LEARNING
- EPnP: An Accurate O(n) Solution to the PnP Problem
- (2008) Vincent Lepetit et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now