Machine Perception and Interaction Lab
About this group
Group information
Contact
Research subject
Research environments
The goal of the lab is to develop methods and techniques to extract meaningful information from sensor data where such data emerges from complex physical systems such as robots and/or sensor networks. The extraction of this information is to facilitate good interaction between humans and systems, as well as between systems. Our investigations aim to provide semantically rich representations of data using AI techniques within machine learning and automated reasoning. We further study the impact of our methods by studying the quality of interaction it provides with humans and other agents. Our research is situated in a number of different topics and fields where we work together with industry and other academic partners, and include social robotics, smart home environments, multi-agent systems and more.
Our research focusses on three different themes:
- Representation Learning
- Semantic Perception
- Human Systems Interaction
Researchers
- Amr Alkhatib
- Hadi Banaee
- Mauro Conti
- Luc De Raedt
- Alberto Giaretta
- Andrey Kiselev
- Denis Kleyko
- Franziska Klügl
- Amy Loutfi
- Stephanie Lowry
- Martin Längkvist
- Periklis Mantenoglou
- Ahmed Nouman
- Fjollë Novakazi
- Ana Paiva
- Andreas Persson
- Jennifer Renoux
- Lei Shi
- Pedro Zuidberg dos Martires
- Victor Aregbede, PhD student
- Enna Basic, PhD student
- David Baxter, PhD student
- Samuel Blad, PhD student
- Francisco Calatrava Nicolás, PhD student
- Gibson Chimamiwa, PhD student
- Amanuel Gebreyesus, PhD student
- Rishi Hazra, PhD student
- Sushanth Kalidindi, PhD student
- Håkan Karlsson Faronius, PhD student
- Sai Krishna, PhD student
- Olga Mironenko, PhD student
- Matthias Möller, PhD student
- Suraj Neelakantan, PhD student
- Kavyaa Somasundaram, PhD student
- Alkis Sygkounas, PhD student
Research projects
Active projects
Completed projects
- A method to measure a sensor network's impact on perceived safety and security
- Agent-based Route- and Mode Choice Simulation
- AI.MEE - Autonomous Intelligent Systems for Enterprise and Exploration
- AMICI - Augmented Interaction For Human-Robot Collaborative Tasks In Industrial Environments
- Assessment of Food Quality: An Embedded Approach
- Cognitive Olfaction: A new Paradigm for Artificial Odour Recognition
- E-care@home
- ExCITE - Enabling SoCial Interaction Through Embodiment
- GiraffPlus
- Mednose
- MoveCare (Multiple-actOrs Virtual Empathic CARgiver for the Elder)
- ReMOTE
- SAAPHO - Secure Active Aging: Participation and Health for the Old
- Semantic Robots
- SOCRATES - SOcial Cognitive Robotics in The European Society
- Take back the Night
