Improving performance of robots using human-inspired approaches: a survey
H Qiao, S Zhong, Z Chen, H Wang - Science China Information Sciences, 2022 - Springer
Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …
research. Improving the performance of ordinary robots usually relies on the collaborative …
A survey of brain-inspired intelligent robots: Integration of vision, decision, motion control, and musculoskeletal systems
Current robotic studies are focused on the performance of specific tasks. However, such
tasks cannot be generalized, and some special tasks, such as compliant and precise …
tasks cannot be generalized, and some special tasks, such as compliant and precise …
Brain-inspired intelligent robotics: Theoretical analysis and systematic application
Traditional joint-link robots have been widely used in production lines because of their high
precision for single tasks. With the development of the manufacturing and service industries …
precision for single tasks. With the development of the manufacturing and service industries …
Motor-cortex-like recurrent neural network and multitask learning for the control of musculoskeletal systems
The musculoskeletal robot is a promising direction of the next-generation robots. However,
current control methods of musculoskeletal robots lack multitask learning ability, great …
current control methods of musculoskeletal robots lack multitask learning ability, great …
A cerebellum-inspired prediction and correction model for motion control of a musculoskeletal robot
It is an important issue that how to regulate the existing control models of musculoskeletal
robots to improve the ability of motion learning and generalization. In this article, based on …
robots to improve the ability of motion learning and generalization. In this article, based on …
A survey of multifingered robotic manipulation: Biological results, structural evolvements, and learning methods
Multifingered robotic hands (usually referred to as dexterous hands) are designed to
achieve human-level or human-like manipulations for robots or as prostheses for the …
achieve human-level or human-like manipulations for robots or as prostheses for the …
Anti-interference analysis of bio-inspired musculoskeletal robotic system
Compared with general joint-link robotic systems, bio-inspired musculoskeletal robotic
systems offer the advantages of higher robustness, flexibility, and redundancy. Hence, they …
systems offer the advantages of higher robustness, flexibility, and redundancy. Hence, they …
Robust continuous motion strategy against muscle rupture using online learning of redundant intersensory networks for musculoskeletal humanoids
Musculoskeletal humanoids have various biomimetic advantages, of which redundant
muscle arrangement is one of the most important features. This feature enables variable …
muscle arrangement is one of the most important features. This feature enables variable …
Motion learning and rapid generalization for musculoskeletal systems based on recurrent neural network modulated by initial states
Musculoskeletal robot with high precision and robustness is a promising direction for the
next generation of robots. However, motion learning and rapid generalization of complex …
next generation of robots. However, motion learning and rapid generalization of complex …
Motion learning and generalization of musculoskeletal robot using gain primitives
S Zhong, W Wu - IEEE Transactions on Automation Science …, 2023 - ieeexplore.ieee.org
Organisms have an innate ability to rapidly produce diverse and flexible movement.
Biological motor systems are composed of highly redundant muscle actuators and have …
Biological motor systems are composed of highly redundant muscle actuators and have …