4.7 Article

Deep learning-based optimization for motion planning of dual-arm assembly robots

Related references

Note: Only part of the references are listed.
Article Robotics

Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners

Ahmed Hussain Qureshi et al.

Summary: MPNet is a computationally efficient, learning-based neural planner that solves motion planning problems effectively. It outperforms gold-standard and state-of-the-art planning methods in various scenarios, showcasing significant performance advantages in different dimensional robot configuration spaces.

IEEE TRANSACTIONS ON ROBOTICS (2021)

Article Computer Science, Artificial Intelligence

Unsupervised Learning-based Artificial Bee Colony for minimizing non-value-adding operations

Chen-Yang Cheng et al.

Summary: This study utilizes an Unsupervised Learning-based Artificial Bee Colony algorithm to minimize non-value-adding activities in production settings with prevalent setup operations, improving solution quality by reducing setup times through a learning mechanism. The gap between scheduling theory and modern industrial applications is narrowed through the application of advanced analytics in production management context.

APPLIED SOFT COMPUTING (2021)

Article Mathematics, Applied

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

Alex Sherstinsky

PHYSICA D-NONLINEAR PHENOMENA (2020)

Article Computer Science, Interdisciplinary Applications

Automatic motion planning for complex welding problems by considering angular redundancy

Wenxiang Gao et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

Review Automation & Control Systems

A comparative review on mobile robot path planning: Classical or meta-heuristic methods?

Mohd Nadhir Ab Wahab et al.

ANNUAL REVIEWS IN CONTROL (2020)

Article Computer Science, Interdisciplinary Applications

Deep learning-based smart task assistance in wearable augmented reality

Kyeong-Beom Park et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

Proceedings Paper Robotics

Comparing Robot Grasping Teleoperation Across Desktop and Virtual Reality with ROS Reality

David Whitney et al.

ROBOTICS RESEARCH (2020)

Review Computer Science, Interdisciplinary Applications

A systematic review of Augmented Reality interfaces for collaborative industrial robots

Francesco De Pace et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Article Computer Science, Information Systems

Learning-Based Metaheuristic for Scheduling Unrelated Parallel Machines With Uncertain Setup Times

Chen-Yang Cheng et al.

IEEE ACCESS (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation

Mayur J. Bency et al.

2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2019)

Article Robotics

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection

Sergey Levine et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2018)

Article Robotics

Optimal path planning in cluttered environment using RRT*-AB

Iram Noreen et al.

INTELLIGENT SERVICE ROBOTICS (2018)

Article Engineering, Manufacturing

The design of an additive manufactured dual arm manipulator system

Bradley S. Richardson et al.

ADDITIVE MANUFACTURING (2018)

Article Computer Science, Artificial Intelligence

Neural networks based reinforcement learning for mobile robots obstacle avoidance

Mihai Duguleana et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Automation & Control Systems

Heuristic approaches in robot path planning: A survey

Thi Thoa Mac et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2016)

Proceedings Paper Automation & Control Systems

Collision Avoidance with Task Constraints and Kinematic Limitations for Dual Arm Robots

Nicola Maria Ceriani et al.

INTELLIGENT AUTONOMOUS SYSTEMS 13 (2016)

Article Robotics

Developing and Comparing Single-Arm and Dual-Arm Regrasp

Weiwei Wan et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2016)

Article Automation & Control Systems

Planning manipulation movements of a dual-arm system considering obstacle removing

Carlos Rodriguez et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2014)

Review Computer Science, Information Systems

Sampling-Based Robot Motion Planning: A Review

Mohamed Elbanhawi et al.

IEEE ACCESS (2014)

Article Engineering, Industrial

Scheduling robotic cells served by a dual-arm robot

Neil Geismar et al.

IIE TRANSACTIONS (2012)

Article Computer Science, Interdisciplinary Applications

Task-oriented motion planning for multi-arm robotic systems

F. Basile et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2012)

Article Engineering, Industrial

Dual arm robot for flexible and cooperative assembly

J. Krueger et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2011)

Article Robotics

Sampling-based algorithms for optimal motion planning

Sertac Karaman et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)

Review Surgery

A history of robots: from science fiction to surgical robotics

N. G. Hockstein et al.

JOURNAL OF ROBOTIC SURGERY (2007)