4.7 Article

Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning

Bianca Sangiovanni et al.

Summary: This letter proposes a hybrid control methodology utilizing Deep Reinforcement Learning to train robot manipulators to avoid obstacles while performing tasks. A switching mechanism is enabled when close to obstacles, allowing for automatic adjustments to cope with unexpected objects in the workspace. The proposal was tested on a realistic robot manipulator simulated in a V-REP environment.

IEEE CONTROL SYSTEMS LETTERS (2021)

Article Computer Science, Interdisciplinary Applications

Dynamic risk assessment and active response strategy for industrial human-robot collaboration

Zhihao Liu et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Article Engineering, Industrial

Human-robot collaboration in disassembly for sustainable manufacturing

Quan Liu et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Article Robotics

Semi-Autonomous Robot Teleoperation With Obstacle Avoidance via Model Predictive Control

Matteo Rubagotti et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2019)

Article Engineering, Industrial

Real-time velocity scaling and obstacle avoidance for industrial robots using fuzzy dynamic movement primitives and virtual impedances

Iman Kardan et al.

INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION (2018)

Article Automation & Control Systems

A survey of robotic motion planning in dynamic environments

M. G. Mohanan et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2018)

Article Computer Science, Interdisciplinary Applications

Active collision avoidance for human-robot collaboration driven by vision sensors

Abdullah Mohammed et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2017)

Article Computer Science, Interdisciplinary Applications

Implementing speed and separation monitoring in collaborative robot workcells

Jeremy A. Marvel et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2017)

Review Computer Science, Information Systems

Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments

S. Robla-Gomez et al.

IEEE ACCESS (2017)

Article Computer Science, Artificial Intelligence

Virtual Impedance Control for Safe Human-Robot Interaction

Sheng-Yen Lo et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2016)

Article Automation & Control Systems

Safety in Human-Robot Collaborative Manufacturing Environments: Metrics and Control

Andrea Maria Zanchettin et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2016)

Article Computer Science, Artificial Intelligence

Performance Evaluation of Human Detection Systems for Robot Safety

William Shackleford et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2016)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Article Automation & Control Systems

Characterizing Task-Based Human-Robot Collaboration Safety in Manufacturing

Jeremy A. Marvel et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

A Depth Space Approach for Evaluating Distance to Objects with Application to Human-Robot Collision Avoidance

Fabrizio Flacco et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective

Satinder Singh et al.

IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT (2010)

Article Computer Science, Software Engineering

Continuous Collision Detection for Ellipsoids

Yi-King Choi et al.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2009)