English
Related papers

Related papers: DeepCPG Policies for Robot Locomotion

200 papers

Biological studies reveal that neural circuits located at the spinal cord called central pattern generator (CPG) oscillates and generates rhythmic signals, which are the underlying mechanism responsible for rhythmic locomotion behaviors of…

Robotics · Computer Science 2023-05-15 Chuanyu Yang , Can Pu , Tianqi Wei , Cong Wang , Zhibin Li

Inspired by biological motion generation, central pattern generators (CPGs) is frequently employed in legged robot locomotion control to produce natural gait pattern with low-dimensional control signals. However, the limited adaptability…

Robotics · Computer Science 2023-10-13 Qiyue Yang , Yue Gao , Shaoyuan Li

In this letter, we present a method for integrating central pattern generators (CPGs), i.e. systems of coupled oscillators, into the deep reinforcement learning (DRL) framework to produce robust and omnidirectional quadruped locomotion. The…

Robotics · Computer Science 2022-11-02 Guillaume Bellegarda , Auke Ijspeert

Quadruped animal locomotion emerges from the interactions between the spinal central pattern generator (CPG), sensory feedback, and supraspinal drive signals from the brain. Computational models of CPGs have been widely used for…

Robotics · Computer Science 2023-02-28 Milad Shafiee , Guillaume Bellegarda , Auke Ijspeert

Central pattern generators (CPGs), with a basis is neurophysiological studies, are a type of neural network for the generation of rhythmic motion. While CPGs are being increasingly used in robot control, most applications are hand-tuned for…

Neural and Evolutionary Computing · Computer Science 2015-03-13 Atilim Gunes Baydin

We present a framework for learning visually-guided quadruped locomotion by integrating exteroceptive sensing and central pattern generators (CPGs), i.e. systems of coupled oscillators, into the deep reinforcement learning (DRL) framework.…

Robotics · Computer Science 2024-03-12 Guillaume Bellegarda , Milad Shafiee , Auke Ijspeert

In this paper, we present a new locomotion control method for soft robot snakes. Inspired by biological snakes, our control architecture is composed of two key modules: A deep reinforcement learning (RL) module for achieving adaptive…

Robotics · Computer Science 2020-03-04 Xuan Liu , Renato Gasoto , Cagdas Onal , Jie Fu

Bio-inspired control of motion is an active field of research with many applications in real world tasks. In the case of robotic systems that need to exhibit oscillatory behaviour (i.e. locomotion of snake-type or legged robots), Central…

Robotics · Computer Science 2015-09-09 Carlos Garcia-Saura

Animals possess a remarkable ability to navigate challenging terrains, achieved through the interplay of various pathways between the brain, central pattern generators (CPGs) in the spinal cord, and musculoskeletal system. Traditional…

Robotics · Computer Science 2024-04-30 Ge Sun , Milad Shafiee , Peizhuo Li , Guillaume Bellegarda , Auke Ijspeert , Guillaume Sartoretti

Central Pattern Generators (CPGs) have several properties desirable for locomotion: they generate smooth trajectories, are robust to perturbations and are simple to implement. Although conceptually promising, we argue that the full…

An originally chaotic system can be controlled into various periodic dynamics. When it is implemented into a legged robot's locomotion control as a central pattern generator (CPG), sophisticated gait patterns arise so that the robot can…

Artificial Intelligence · Computer Science 2014-09-02 Guanjiao Ren , Weihai Chen , Sakyasingha Dasgupta , Christoph Kolodziejski , Florentin Wörgötter , Poramate Manoonpong

All vertebrates are capable of performing various types of physical activity. Locomotor patterns are created by the cyclical coordinated work of the skeletal muscles. The organization of such a system in living organisms is responsible for…

Neurons and Cognition · Quantitative Biology 2021-12-15 A. I. Zharinov , Y. A. Tsybina , S. Y. Gordleeva

Typical legged locomotion controllers are designed or trained offline. This is in contrast to many animals, which are able to locomote at birth, and rapidly improve their locomotion skills with few real-world interactions. Such motor…

Robotics · Computer Science 2024-10-23 Zewei Zhang , Guillaume Bellegarda , Milad Shafiee , Auke Ijspeert

This paper introduces a new wheel-legged robot and develops motion controllers based on central pattern generators (CPGs) for the robot to navigate over a range of terrains. A transformable leg-wheel design is considered and characterized…

Robotics · Computer Science 2024-07-08 Tyler Bishop , Keran Ye , Konstantinos Karydis

Learning to walk -- i.e., learning locomotion under performance and energy constraints continues to be a challenge in legged robotics. Methods such as stochastic gradient, deep reinforcement learning (RL) have been explored for bipeds,…

Neural and Evolutionary Computing · Computer Science 2020-03-24 Ashwin Sanjay Lele , Yan Fang , Justin Ting , Arijit Raychowdhury

Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow…

Neural and Evolutionary Computing · Computer Science 2016-08-08 Sakyasingha Dasgupta , Dennis Goldschmidt , Florentin Wörgötter , Poramate Manoonpong

For a robot to be both autonomous and collaborative requires the ability to adapt its movement to a variety of external stimuli, whether these come from humans or other robots. Typically, legged robots have oscillation periods explicitly…

Robotics · Computer Science 2023-07-03 Alex Szorkovszky , Frank Veenstra , Kyrre Glette

Humanoid robots are made to resemble humans but their locomotion abilities are far from ours in terms of agility and versatility. When humans walk on complex terrains, or face external disturbances, they combine a set of strategies,…

Robotics · Computer Science 2021-10-28 Mohammadreza Kasaei , Miguel Abreu , Nuno Lau , Artur Pereira , Luis Paulo Reis

Locomotion is a crucial challenge for legged robots that is addressed "effortlessly" by biological networks abundant in nature, named central pattern generators (CPG). The multitude of CPG network models that have so far become biomimetic…

Neural and Evolutionary Computing · Computer Science 2020-06-09 Ioannis Polykretis , Konstantinos P. Michmizos

The complexity of bipedal locomotion may be attributed to the difficulty in synchronizing joint movements while at the same time achieving high-level objectives such as walking in a particular direction. Artificial central pattern…

Neural and Evolutionary Computing · Computer Science 2019-09-15 Sayantan Auddy , Sven Magg , Stefan Wermter
‹ Prev 1 2 3 10 Next ›