4.6 Article

A Disturbance Rejection Control Method Based on Deep Reinforcement Learning for a Biped Robot

Related references

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

Model-Adaptive High-Speed Collision Detection for Serial-Chain Robot Manipulators

Seyed Ali Baradaran Birjandi et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2020)

Article Computer Science, Artificial Intelligence

Intelligent controller for passivity-based biped robot using deep Q network

Yao Wu et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)

Article Chemistry, Multidisciplinary

Learning an Efficient Gait Cycle of a Biped Robot Based on Reinforcement Learning and Artificial Neural Networks

Cristyan R. Gil et al.

APPLIED SCIENCES-BASEL (2019)

Article Robotics

Learning agile and dynamic motor skills for legged robots

Jemin Hwangbo et al.

SCIENCE ROBOTICS (2019)

Article Automation & Control Systems

Posture self-stabilizer of a biped robot based on training platform and reinforcement learning

Weiguo Wu et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid

Alexander Herzog et al.

AUTONOMOUS ROBOTS (2016)

Article Robotics

Design of a Momentum-Based Control Framework and Application to the Humanoid Robot Atlas

Twan Koolen et al.

INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS (2016)

Article Computer Science, Artificial Intelligence

A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives

Cai Li et al.

FRONTIERS IN NEUROROBOTICS (2014)

Article Automation & Control Systems

Learning CPG-based biped locomotion with a policy gradient method

Takamitsu Matsubara et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2006)