The recent success of machine learning has lead to advancements in robot intelligence and human-robot interaction. It is reported that robots can well understand visual scene information and describe the scenes in language using computer vision and natural language processing methods. Image Question-Answering (QA) systems can be used for human-robot interaction. However, to achieve human-level ...

This paper introduces a fully Bayesian reformulation of Interaction Primitives for human-robot interaction and collaboration. A key insight is that a subset of human-robot interaction is conceptually related to simultaneous localization and mapping techniques. Leveraging this insight we can significantly increase the accuracy of temporal estimation and inferred trajectories while simultaneously...

Sensing and interpreting the user’s activities and social behavior, monitoring the dynamics of the social context, and selecting and producing appropriate robot action are the core challenges involved in using robots as social tools in interaction scenarios. In social human-robot interaction, speech and gesture are the commonly considered interaction modalities. In human-human interactions, int...

In two small studies, we investigated how a virtual human/ robot duo can complement each other in joint interaction with one or more users. The robot takes care of turn management while the virtual human draws attention to the robot. Our results show that having the virtual human address the robot, highlights the latter’s role in the interaction. Having the robot nonverbally indicate the intend...

This paper proposed the implementation of haptic-based robot which is following human by using fundamental sensors on robot arms without additional sensors. A Robot arm has 6 DOF(6 angle detection devices) to operate like human arm. Robot follows human by interacting with robot arm(s) and human hand(s), as human follows human by hand(s) Key-Words: Intelligent robot, Human robot interaction, Fol...

The safety involved in Human-Robot Interaction (HRI) is an important issue. This is the key point for the increase or decrease in HRI activity. A novel solution concerning the safety of HRI is proposed. The solution considers the near future human intentions. A set of possible human intentions is known to the robot. The robot also knows the places that can be visited by the interacting human ac...

Dependable robots and teleoperation, taken in its broadest sense, require natural and friendly human–robot interaction systems. The work presented consists of a methodology for human–robot interaction based on the perception of human intention from vision and force. The vision system interprets human gestures from the integration of a stereovision and a carving system, from which it extracts a ...

Considering the symbiosis between humans and robots in coming years, robots should be able to infer the implicit human intention for the efficient humanrobot interaction. This paper focuses on the human-robot cooperation problem among the various fields of human-robot interaction. The human intention reading method using fuzzy cognitive map for the efficient human-robot cooperation is proposed ...

The social robot Probo was designed to study human-robot interaction and robot-assisted therapy for children, and is currently used as facilitator for autism therapies. This paper discusses the design aspects, providing an intuitive, social, but also safe and soft physical behavior. For an intuitive interaction, the robot is equipped with 19 degrees of freedom, enabling it to show facial expres...

When the question of who should get access to a communal resource first is uncertain, people often negotiate via nonverbal communication resolve conflict. What robot be programmed do when such conflicts arise in Human-Robot Interaction? The answer this varies depending on context situation. Learning from how humans use hesitation gestures solution conflict situations, we present human-inspired ...