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 …
Muscle-synergies-based neuromuscular control for motion learning and generalization of a musculoskeletal system
Owing to its potential superiorities in terms of flexibility, compliance, and robustness, the
musculoskeletal robotic system has become a promising direction for next-generation …
musculoskeletal robotic system has become a promising direction for next-generation …
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 …
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 …
Motion learning for musculoskeletal robots based on cortex-inspired motor primitives and modulation
X Wang, J Chen, W Wu - IEEE Transactions on Cognitive and …, 2023 - ieeexplore.ieee.org
Musculoskeletal robots have structural advantages of flexibility, robustness, and compliance.
However, the control of such musculoskeletal robots is challenging. In particular, the …
However, the control of such musculoskeletal robots is challenging. In particular, the …
Hierarchical motion learning for goal-oriented movements with speed–accuracy tradeoff of a musculoskeletal system
J Zhou, S Zhong, W Wu - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Generating various goal-oriented movements via the flexible muscle model of the
musculoskeletal system as fast and accurately as possible is a pressing problem, which is …
musculoskeletal system as fast and accurately as possible is a pressing problem, which is …
Utilising redundancy in musculoskeletal systems for adaptive stiffness and muscle failure compensation: a model-free inverse statics approach
Vertebrates possess a biomechanical structure with redundant muscles, enabling
adaptability in uncertain and complex environments. Harnessing this inspiration …
adaptability in uncertain and complex environments. Harnessing this inspiration …