Centre for Applied Autonomous Sensor Systems (AASS)
The Center for Applied Autonomous Sensor Systems (AASS), founded in 1998, is a strong research environment which performs research on autonomous systems, with a focus on their perceptual and cognitive capabilities. The center is internationally known for its expertise within artificial intelligence and robotics, and their integration. It has a strong tradition of working together in close collaboration with industrial partners in Sweden and around the world.
News
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Örebro is part of multi-million investment in mining research: “to set new world standard”
LKAB is investing SEK 80 million in research towards sustainable mining. Örebro University, with its expertise in AI and autonomous systems, is one of three universities whose researchers will contribute to the development.
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AI and eye tracking may help doctors make difficult patient decisions
Doctors could get an objective report to make better decisions about patients’ medical fitness to possess a driving licence using artificial intelligence and eye tracking. This is the goal of the new AI project Dash at Örebro University.
Environment information
Contact
Research domains
- Engineering
Areas of research
- Artificial intelligence
- Autonomous systems
At AASS we perform multidisciplinary research in autonomous systems with a focus on their perceptual and cognitive capabilities and their integration. The study of these two central issues provides the scientific basis for the development and application of real autonomous systems. Our two major application areas are: development of autonomous professional vehicles in joint projects with world-leading companies as Atlas Copco, Volvo Construction Equipment, Linde Material Handling, Kollmorgen Automation AB; development of a range of autonomous-systems solutions for elderly care in domestic environments as in Ängen senior residence facility in Örebro run by Örebro municipality.
Research projects
- A context-aware framework for visual localization
- 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
- AI4EU
- AIR - Action and Intention Recognition in Human Interaction with Autonomous Systems
- ALL-4-eHam - Fully Autonomous WheeL Loaders for efficient HAndling of Heterogeneous Materials
- ALLO - Automomous Long-Term Load-Haul-Dump Operations
- AMICI - Augmented Interaction For Human-Robot Collaborative Tasks In Industrial Environments
- Assessment of Food Quality: An Embedded Approach
- AutoBoomer - Automated Drill Planning for Multiple-Boom Rigs in Underground Mining
- AutoHauler - Automated Planning and Coordination of Autonomous Haulers in Underground Mines
- BioLearning - Using bioindicators, biomarker profiles and machine learning to improve water quality analysis
- CARESSES
- CleanSat - SIG AI
- Cognitive Olfaction: A new Paradigm for Artificial Odour Recognition
- DIADEM - Distributed Information Acquisition and Decision-Making for Environmental Management
- Dustbot - Networked and Cooperating Robots for Urban Hygiene
- Dynamic Agile Production Robots That Learn and Optimise Knowledge and Operations (DARKO)
- E-care@home
- ExCITE - Enabling SoCial Interaction Through Embodiment
- FIREM-II. Fire and Rescue in Mines II
- Gasbot
- GeRT - Generalizing Robot Manipulation Tasks
- GiraffPlus
- Human-aware task planning for mobile robots
- Human-in-the-loop: Modeling and Simulation
- ILIAD: Intra-Logistics with Integrated Automatic Deployment for safe and scalable fleets in shared spaces
- iQMobility
- Learning Agents for Supporting Modeling
- Long Term Symbol Anchoring for Dynamic and Realistic Environments
- Machine Learning to enhance AI Planning for Intelligent Transport Systems
- MALTA - Multiple Autonomous forklifts for Loading and Transportation Applications
- Mednose
- Monarch
- MORE - Educating Europe`s Future Engineers in Next Generation Heavy Duty Mobile Machinery: Artificial Intelligence driven Robotisation, Energy Efficiency and Process Optimisation
- MoveCare (Multiple-actOrs Virtual Empathic CARgiver for the Elder)
- NiCE: Robust Navigation in Changing Environments
- OPAC Intelligent Pedestrian Hydraulics
- Predictive Modeling of Hydraulic Hoses for Underground Mining
- RACE - Robustness by Autonomous Competence Enhancement
- RAISE - Robotic System for Air Quality Assessment in Industrial Environments
- Reinforcement Learning in Continuous Spaces with Interactively Acquired Knowledge-based Models
- ReMOTE
- RM4RS - Rapid Mapping for Realistic Simulation
- RobLog - Cognitive Robot for Automation of Logistic Processes
- Robot-Era - Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for the ageing population
- RUBICON - Robotic UBIquitous COgnitive Network
- SAAPHO - Secure Active Aging: Participation and Health for the Old
- SAUNA - Safe Autonomous Navigation
- SAVIE - Safe Autonomous Vehicles for Industrial Environments
- Semantic Maps and Beyond
- Semantic Robots
- SeSAM - Sensorbased safety for autonomous mobility
- SmokeBot - Mobile Robots with Novel Environmental Sensors for Inspection of Disaster Sites with Low Visibility
- SOCRATES - SOcial Cognitive Robotics in The European Society
- SPENCER - Social Situation-aware Perception and Action for Cognitive Robots
- Surveyor
- Take back the Night
- TAMMP - Tele-operated & Autonomous Machines in the Mining Process
- TeamRob - Teams of Robots Working for and with Humans
- Tracking and Control of Articulated Machines through Remote Sensing (TracMac)
- Ängen: a Physical Testbed Apartment for Prototyping Distributed Care Technologies