The development of robotic hands that can replicate the complex movements and dexterity
of the human hand has been a longstanding challenge for scientists and engineers. A …

Learning effective continuous control policies in high-dimensional systems, including
musculoskeletal agents, remains a significant challenge. Over the course of biological …

This review provides a comprehensive analysis of recent advancements in the development
and applications of robotic fingers. The review focuses on four critical components …

The morphology and controller design of robots is often a labor-intensive task performed by
experienced and intuitive engineers. Automatic robot design using machine learning is …

Dexterous manipulation, especially of small daily objects, continues to pose complex
challenges in robotics. This paper introduces the DenseTact-Mini, an optical tactile sensor …

Affordance segmentation is used to split object images into parts according to the possible
interactions, usually to drive safe robotic gras**. Most approaches to affordance …

The use of both hands is a common practice in everyday life. The capacity to interact with the
environment is largely dependent on the ability to use both hands. A thorough review of the …

Robot learning has attracted an ever-increasing attention by automating complex tasks,
reducing errors, and increasing production speed and flexibility, which leads to significant …

Nature-inspired robotic manipulators are an active research area because of their efficient
multi-functional integration. Of these mechanisms, the tendon-driven human finger is …