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 …

The continual learning and development are significant for robots to learn multiple tasks
sequentially. The difficulty lies in balancing the efficient learning of new tasks and …

Complex robotic systems, such as humanoid robot hands, soft robots, and walking robots,
pose a challenging control problem due to their high dimensionality and heavy non …

Musculoskeletal robots with human-like joints, muscles, and actuation mechanisms are
characterized by exceptional dexterity, compliance, and versatility. However, existing …

Organisms have an innate ability to rapidly produce diverse and flexible movement.
Biological motor systems are composed of highly redundant muscle actuators and have …

Musculoskeletal robots have structural advantages of flexibility, robustness, and compliance.
However, the control of such musculoskeletal robots is challenging. In particular, the …

Due to the redundancy, the kinematic control of redundant manipulators is a knotty issue in
the field of robotics. The cerebellar computation sheds a new light on controlling redundant …

Bionic muscle-driven musculoskeletal systems can dynamically adjust the stiffness between
active and antagonistic muscles to improve stability. However, they retain many problems …

Background: Cerebellar intermittent theta burst stimulation (iTBS) modulates the excitability
of the cerebral cortex and may enhance attentional performance. To date, few studies have …

传统机器人经过长时间的研究和发展, 已经在生产和生活的多个领域得到了广泛的应用,
但在复杂多变的环境中依然缺乏与真实生物类似的灵活性, 稳定性和适应能力 …