A5053609034- Social Robot Interaction and HRI
- Ethics and Social Impacts of AI
- Robotics and Automated Systems
- Human-Automation Interaction and Safety
- Reinforcement Learning in Robotics
- Modular Robots and Swarm Intelligence
- Robotic Locomotion and Control
- Context-Aware Activity Recognition Systems
- Bluetooth and Wireless Communication Technologies
- Innovation and Socioeconomic Development
- Advanced Image and Video Retrieval Techniques
- Robot Manipulation and Learning
- Psychology of Moral and Emotional Judgment
- Emotion and Mood Recognition
- IoT and Edge/Fog Computing
- Adversarial Robustness in Machine Learning
- Robotic Path Planning Algorithms
- Speech and dialogue systems
- Scientific Computing and Data Management
- Robotics and Sensor-Based Localization
- Prosthetics and Rehabilitation Robotics
- Opportunistic and Delay-Tolerant Networks
- Advanced Neural Network Applications
- Emotions and Moral Behavior
- AI in Service Interactions
University of Hertfordshire
2016-2024
Humboldt-Universität zu Berlin
2013
The word "robot" frequently conjures unrealistic expectations of utilitarian perfection: tireless, efficient and flawless agents. However, real-world robots are far from perfect—they fail make mistakes. Thus, roboticists should consider altering their current assumptions cultivating new perspectives that account for a more complete range robot roles, behaviors, interactions. To encourage this, we explore the use metaphors generating novel ideas reframing existing problems, eliciting...
A solid methodology to understand human perception and preferences in human-robot interaction (HRI) is crucial designing real-world HRI. Social cognition posits that the dimensions Warmth Competence are central universal characterizing other humans [1]. The Robotic Attribute Scale (RoSAS) proposes items for those suitable HRI validated them a visual observation study. In this paper we complement validation by showing usability of these behavior based, physical study with fully autonomous...
This workshop aimed for a deeper exploration of trust and acceptance in human-robot interaction (HRI) from multidisciplinary perspective including robots' capabilities sensing perceiving other agents, the environment, dynamics. The was held online conjunction with IEEE RO-MAN 2021 (see this https URL). Three invited speakers six position papers analysed/discussed different aspects that can affect, enhance, undermine, or recover humans' robots, such as use social cues behaviour transparency....
Interacting with humans is one of the main challenges for mobile robots in a human inhabited environment. To enable adaptive behavior, robot needs to recognize touch gestures and/or proximity interacting individuals. Moreover, two or more usually distinguish between them. However, this remains both configuration and cost intensive task. In paper we utilize inexpensive Bluetooth Low Energy (BLE) devices propose an easy configurable technique enhance robot's capabilities interact surrounding...
A challenge in using robots human-inhabited environments is to design behavior that engaging, yet robust the perturbations induced by human interaction. Our idea imbue robot with intrinsic motivation (IM) so it can handle new situations and appears as a genuine social other humans thus be of more interest interaction partner. Human-robot (HRI) experiments mainly focus on scripted or teleoperated robots, mimic characteristics such IM control isolated factors. This article presents...
This demonstration shows how inexpensive, off-the-shelf, and unobtrusive Bluetooth Low Energy (BLE) devices can be utilized for enabling robots to recognize touch gestures, perceive proximity information, distinguish between interacting individuals autonomously. The received signal strength (RSS) the BLE device attached robot is used achieve this. Almost no software configuration needed setup applied most everyday environments platforms.
One of the fundamental modes learning in children is through curiosity. Children (and adults) interact with new people, learn about novel objects, activities and other stimuli curiosity intrinsic motivations. Creating autonomous robots that continually may result breakthroughs artificial intelligence. Such could continue to themselves world around them curiosity, thus improving their abilities over 'lifetime'. Although recent works on different fields have produced significant results, most...
Abstract Robotics researchers have been focusing on developing autonomous and human-like intelligent robots that are able to plan, navigate, manipulate objects, interact with humans in both static dynamic environments. These capabilities, however, usually developed for direct interactions people controlled environments, evaluated primarily terms of human safety. Consequently, human-robot interaction (HRI) scenarios no intervention technical personnel is under-explored. However, the future,...
We participated in the RoboCup 2018 competition Montreal with our newly developed BoldBot based on Darwin-OP and mostly self-printed custom parts. This paper is about lessons learnt from that further developments for 2019 competition. Firstly, we briefly introduce team along an overview of past achievements. then present a simple, standalone 2D simulator use simplifying entry new members making basic concepts quickly accessible. describe approach semantic-segmentation vision used...
This workshop aimed for a deeper exploration of trust and acceptance in human-robot interaction (HRI) from multidisciplinary perspective including robots' capabilities sensing perceiving other agents, the environment, dynamics. The was held online conjunction with IEEE RO-MAN 2021 (see https://ro-man2021.org/). Three invited speakers six position papers analysed/discussed different aspects that can affect, enhance, undermine, or recover humans' robots, such as use social cues behaviour...