About Semantic Robots
The aim of Semantic Robots is to create robots which understand context, handle changes, and react to events intuitively.
Semantic Robots is a research profile funded by the Swedish Knowledge Foundation (KKS). Its objective is to create sustainable world-class research in the area of Robotics and AI. The profile supports post-docs and senior researchers, and involves tight collaborations with major Swedish industrial partners.
Research activities are grounded on industrial case-studies, and the profile's success is measured in terms of research excellence, ability to secure complementary and adequately diversified funding, and creating lasting competence for our industrial partners.
Research Excellence
Semantic Robots has spawned significant advancements in perception, mapping and automated planning. Our results are published in conferences and journals spanning AI And Robotics.
Much of the research supported by Semantic Robots results in open-source software and hardware:
- The Meta-CSP Framework: a Java API for meta-constraint reasoning
- The navigation_oru robot motion planning and control ROS stack
- The coordination_oru library: a robot-agnostic online coordination for multiple robots
- ROS interface for the coordination_oru library
- Build instructions including 3D print files (.stp) onboard computing on the Husqvarna Research Platform (HRP)
- Evaluation software for LightWeight Place Recognition (LWPR) for Matlab
- LOGOS implementation (in MATLAB and C++)
- OpenCV implementation of LOGOS
- Semantic Referee
Complementary and diversified funding
As part of its aim of making the AASS a sustainable research environment, the profile supports the achievement of further research funding. The cooperation established with our industrial partners has resulted in several projects on themes related to the profile, including:
- AIR - Action and Intention Recognition in Human Interaction with Autonomous Systems (KKS)
- SmokeBot - Mobile Robots with Novel Environmental Sensors for Inspection of Disaster Sites with Low Visibility (EU H2020)
- E-care@home (KKS)
- ILIAD: Intra-Logistics with Integrated Automatic Deployment for safe and scalable fleets in shared spaces (EU H2020)
- iQMobility (Vinnova)
- CARESSES (EU H2020 and MIC Japan)
- Tracking and Control of Articulated Machines through Remote Sensing (TracMac) (Vinnova)
- AI4EU (EU H2020)
- AI.MEE - Autonomous Intelligent Systems for Enterprise and Exploration (Tillväxtverket)
- A context-aware framework for visual localization (Vetenskapsrådet)
- AutoBoomer - Automated Drill Planning for Multiple-Boom Rigs in Underground Mining
- RoboClean (Formas)
- MORE - Educating Europe’s Future Engineers in Next Generation Heavy Duty Mobile Machinery: Artificial Intelligence driven Robotisation, Energy Efficiency and Process Optimisation (EU H2020)
- AutoHauler - Automated Planning and Coordination of Autonomous Haulers in Underground Mines (Vinnova)
- TAMMP - Tele-operated & Autonomous Machines in the Mining Process (Vinnova)
- CleanSat-SIG AI (Vinnova)
Creating lasting competence for the industry
Several patents have been filed by profile researchers in cooperation with our industrial partners:
- R Mosberger, H Andreasson. Säkerhetssystem för detektion av personer och fysiska objekt vid manövrering av fordon. Swedish pat. no. SE537739. Granted 2015-10
- R Lundh, S Joyce, M Mansouri, H Andreasson, F Pecora. Method and system for assigning tasks to drill rigs. Swedish patent no. SE542285 C2 / SE1551257 A1. Granted 2020-04
- R Lundh, S Joyce, M Mansouri, H Andreasson, F Pecora. Method and system for assigning tasks to mining and/or construction machines. Swedish patent no. SE542284 C2 / SE1551256 A1. Granted 2020-04
- R Lundh, S Joyce, M Mansouri, H Andreasson, F Pecora. Method and system for assigning tasks to mining and/or construction machines. US Patent App. 15/764,759 (2018)
- R Lundh, S Joyce, M Mansouri, F Pecora, H Andreasson. Method and system for assigning tasks to drill rigs. US Patent App. 15/764,726 (2019)
The profile has also directly supported the creation of three courses in the SMART(ER) and AI Competence for Sweden programs, which provide education within AI and Autonomous Systems for the industry:
- M. Alirezaie, Answer Set Programming, 3 Credits
- H. Andreasson, Autonomous Robots and ROS, 3 Credits
- F. Pecora, AI Search Methods for Mobile Robots, 3 Credits