Presents an overview of research in dexterous manipulation. We first define robotic
dexterous manipulation in comparison to traditional robotics and human manipulation. Next …

(*) Notice: Subject to any disclaimer, the term of this 2005. O197843 A1* 9, 2005 Faisman et
al. TO4, 276 patent is extended or adjusted under 35 2005/0203738 A1* 9/2005 …

In this paper, we address the problem of automatic grasp generation for robotic hands where
experience and shape primitives are used in synergy so to provide a basis not only for grasp …

In the context of object interaction and manipulation, one characteristic of a robust grasp is
its ability to comply with external perturbations applied to the grasped object while still …

Recently, methods enabling humans and Artificial Intelligent (AI) agents to collaborate
towards improving the efficiency of Reinforcement Learning-also called Collaborative …

As robots enter the human environment and come into contact with inexperienced users,
they need to be able to interact with users in a multimodal fashion—keyboard and mouse …

Purpose–The purpose of this paper is to report a collection of developments that enable
users to program industrial robots using speech, several device interfaces, force control and …

Driven by the algorithmic advancements in reinforcement learning and the increasing
number of implementations of human-AI collaboration, Collaborative Reinforcement …

Artificial Intelligence (AI) has advanced significantly in recent years, transforming various
industries and domains. Its ability to extract patterns and insights from large volumes of data …

Programming of service robots is an expensive and difficult task especially when
manipulator arms are involved. This is one of the drawbacks for every day use of these …