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Towards Human-Chatbot Interaction: A Virtual Assistant for the Ramp-up Process

Title: Towards Human-Chatbot Interaction: A Virtual Assistant for the Ramp-up Process
Authors: Melanie Zimmer (Intelligent Automation Centre, Loughborough University); Ali Al-Yacoub (Intelligent Automation Centre, Loughborough University); Pedro Ferreira (Intelligent Automation Centre, Loughborough University); Niels Lohse (Intelligent Automation Centre, Loughborough University);
Year: 2020
Citation: Zimmer, M., Al-Yacoub, A., Ferreira, P., Lohse, N., (2020). Towards Human-Chatbot Interaction: A Virtual Assistant for the Ramp-up Process. UKRAS20 Conference: “Robots into the real world” Proceedings, 108-110.

https://doi.org/10.31256/Qx5Dt5V

Abstract:

Nowadays, we are surrounded by virtual assistants in everyday life. But one domain that is assumed to massively benefit from virtual assistants, is manufacturing. In particular, where activities are reliant on human expertise and knowledge, a virtual assistant could help support the human. The vision of this work is inspired by the need for bringing an assembly system more rapidly to an operational state. To achieve this vision, a decision-support framework that aims to better integrate the human operator into the ramp-up activity is proposed. As part of this framework, natural language processing tools are applied to allow the development of a virtual assistant for the ramp-up process. This paper provides an overview of the current work in progress, which is part of a PhD research undertaken at the Intelligent Automation Centre at Loughborough University. It outlines the initial efforts and future steps that have been completed and are planned.

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UKRAS20: Speakers

Keynote Speakers

Prof Ingmar Posner

University of Oxford

Ingmar leads the Applied Artificial Intelligence Lab at Oxford University. His goal is to enable robots to robustly and effectively operate in complex, real-world environments. His research is guided by a vision to create machines which constantly improve through experience. 

Dr Fumiya Iida

University of Cambridge

Fumiya Iida is a university reader at the University of Cambridge since 2018, where he leads the Bio-Inspired Robotics Lab. His research interests include biologically inspired robotics, embodied artificial intelligence, and biomechanics, where he was involved in a number of research projects related to dynamic legged locomotion, navigation of autonomous robots, and human-machine interactions.

Dr Adam Stokes

University of Edinburgh

Dr Stokes is a Senior Lecturer (Associate Professor) in the Institute for Integrated Micro and Nano Systems at The University of Edinburgh. He is Director of the Soft Systems Group, an interdisciplinary research laboratory. Dr Stokes’s research interests include: robotics, physical chemistry, electrical engineering, materials science, nanotechnology, optics, proteomics, and cell biology.


Presentations

Oliver Roesler. Enhancing Unsupervised Natural Language Grounding through Explicit Teaching

Genki Miyauchi and Elizabeth Sklar. A Study Assessing the Impact of Task Duration on Performance Metrics for Multi-Robot Teams

Achim Buerkle, Ali Al-Yacoub and Pedro Ferreira. An incremental learning approach for physical Human-Robot Collaboration

Edmund Hunt. Plastic ‘personalities’ for effective field swarm

Mickey Li, Arthur Richards and Mahesh Sooriyabandara. Reliability-Aware Multi-UAV Coverage Path Planning Using Integer Linear Programming

Alexander Gabriel and Paul Baxter. Towards Intention Recognition for Human-Interacting Agricultural Robots

Raymond Kirk, Michael Mangan and Grzegorz Cielniak. Feasibility Study of In-Field Phenotypic Trait Extraction for Robotic Soft-Fruit Operations

Ronnie Smith. Enabling Deep Personalisation for a Heterogeneous Ambient Assisted Living Landscape

Willow Mandil, Karoline Heiwolt, Grzegorz Cielniak and Marc Hanheide. Automated Topological Mapping for Agricultural Robots

Ashith Babu, Arunkumar Rathinam and Zhou Hao. Trajectory Tracking and Control of Multiple Robot Arms on a Free-Floating Spacecraft for Debris Removal

Jakub Hulas and Chengxu Zhou. Improving Quadrupedal Locomotion on Granular Material Using Genetic Algorithm

Robert Woolley, Jon Timmis and Andy Tyrell. Analysis of two wheeled robot morphology for aslope environment

Illimar Issak and Ayse Kucukyilmaz. The Goods and Bads in Dyadic Co-Manipulation: Identifying Conflict-Driven Interaction Behaviours in Human-Human Collaboration

Luke Hickton, Matthew Lewis and Lola Canamero. Expression of Grounded Affect in a Hexapod Robot

Joshua Emerson and Khaled Elgeniedy. Optimising Soft Fin Ray Robotic Fingers using Finite Element Analysis to Reduce Object Slippage


Posters

A Cable-based Manipulator for Chemistry Labs

An Open Source Seeding Agri-Robot

Investigating PID Control for Station Keeping ROVs

Control of hydraulically–actuated manipulators with dead–band and time–delay uncertainties

A Recurrent Encoder-Decoder Network Architecture for Task Recognition and Motion Prediction in Human-Robot Collaboration based on Skeleton Data

Topological Robot Localization in a Pipe Network

The role of ‘urban living labs’ in ‘real-world testing’ robotics and autonomous systems.

RICA: Robocentric Indoor Crowd Analysis Dataset

Robots Producing Their Own Hierarchies with DOSA; The Dependency-Oriented Structure Architect

Development of Tools and Methods for Autonomous Fixed-wing UAV Research

A review of manufacturing systems for introducing collaborative robots

Smart Suitcase Implementation Using Fuzzy Logic and Deep Learning

Game theory for self-driving cars

Deep learning for robotic strawberry harvesting

3D Printed Variable Infill Soft Fingers for the SIMPA Prosthetic Arm

Task Delegation and Architecture for Autonomous Excavators

Understanding human responses to errors in a collaborative human-robot selective harvesting task

A Point Cloud Semantic Segmentation Framework for Embedded Systems in Agricultural Robots

A Robotic Environment for Cognitive Assessment

Robotic ignition systems for oil fields

Towards the development of a deposition technology for an automated rail repair system

An Automatic Design Tool for Soft Robotics

Adaptive Manipulator Control using Active Inference with Precision Learning

Towards Human-Chatbot Interaction: A Virtual Assistant for the Ramp-up Process

Power-aware Fusion of Visual and Wheel Odometry for Mobile Platforms

Debiasing of position estimations of UWB-based TDoA indoor positioning system

The Augmented Agronomist Pipeline and Time Series Forecasting

BeetleBot: A Multi-Purpose AI-Driven Mobile Robot for Realistic Environments

Determining shape of strawberry crops with spherical harmonics

Towards Gamification of the Ramp-up Process for Industry 4.0

Modelling variable communication signal strength for experiments with multi-robot teams

Towards bio-inspired fruit detection for agriculture

Co-creative drawing with a robot

Robotic Untangling of Herbs and Salads with Parallel Grippers

Towards Insect Inspired Visual Sensors for Robots

Vision Navigation System to Manoeuvre Unmanned Aerial Vehicle (UAV)

Experimental Analysis of Soft Vacuum Cups for Automated Mushroom Picking

Mapping the impact of faults in a multi-robot team

Image Pre-processing, Triplet Learning and Route Navigation

Unsupervised Anomaly Detection for Safe Robot Operations

Intelligent Service Robots to enter the Hospitality Industry: Job Termination or Gospel to Waiters