In addition to the future of work, health, and mobility, Principal Investigators are researching future-oriented technologies and their applications for our environment. The joint initiative of researchers from various disciplines creates new possibilities to monitor terrestrial and aquatic environments, teleoperate robotics systems, and in the future, enable home-office for farmers.
AI and intelligent robots could be used for sustainable agriculture and environmental monitoring. Robotized agricultural machines can save diesel fuel and thus reduce CO2 and NOx emissions. The autonomous navigation of the agricultural robot, e.g., a tractor, on the ground can be optimized from the air using remote-controlled drones.
In other applications, drones equipped with intelligent sensor systems are used to generate real-time air quality maps that measure nitrogen oxides, fine dust, temperature, and humidity every second, and transmit values in real-time.
A drone’s capacity to fly autonomously depends on its ability to accurately identify its localization in the environment. For this purpose, the drone is equipped with cameras and AI to build up a map of the environment in which it can also locate itself in real-time.
Furthermore, If drones are equipped with a dual-arm, they can grasp items from the environment and be used for collecting fruits.
Underwater robots for environmental monitoring and protection are also part of the research agenda of MSRM (new MIRMI) Principal investigators. For instance, the SeaClear project will build a mixed team of unmanned underwater, surface, and aerial vehicles to find and collect litter from the seabed. Or the SVan project aims to combine telepresence, shared autonomy, and human-robot interaction into a single intelligent system to make it easier for experts to extract information and assess new developments with robots.
- The Future of Environment - Reducing Environmental Pollution with Intelligent Robot Networks - MSRM (tum.de)
- Prof. Jia Chen – Assistant Professorship of Environmental Sensing and Modeling
- Prof. Sami Haddadin – Chair of Robotics and Systems Intelligence
- Prof. Stefan Leutenegger – Professorship Machine Learning for Robotics
- Prof. Timo Oksanen – Chair of Agrimechatronics
- Prof. Markus Ryll – Professorship for Autonomous Aerial Systems