Welcome to the Institute of Robotics and Intelligent Systems
The Institute of Robotics and Intelligent Systems (IRIS) is part of ETH Zurich, Switzerland. It currently consists of eight independent laboratories that conduct research in areas ranging from nanodevices for biomedicine, to systems for rehabilitation and autonomous aerial vehicles.
Department of Mechanical & Process Engineering (D-MAVT)
Multi-Scale Robotics Lab
The Multi-Scale Robotics Lab (MSRL), led by Prof. Brad Nelson, pursues a dynamic research program that maintains a strong robotics research focus on several emerging areas of science and technology.
The ADRL, led by Prof. Jonas Buchli, develops model-based and model-free control and machine learning methodes that enable robots with arms and legs to roam and manipulate dynamic and complex environments robustly and with agility.
At the Vision for Robotics lab (V4RL), led by Prof. Margarita Chli, we research and develop vision-based perception capabilities for robots drawing inspiration from disciplines such Computer Vision, Machine Learning and Neuroscience.
Department of Health Sciences &Technology (D-HEST)
Sensory-Motor Systems Lab
The Sensory-Motor Systems Lab, led by Professor Robert Riener, focuses on the study of human sensory-motor control, design of novel mechatronic machines, and investigation and optimisation of human-machine interaction.
Our research, led by Prof. Roger Gassert, focuses on the development and clinical evaluation of diagnostic, therapeutic and assistive tools in order to promote recovery, independence and social integration of the physically disabled.
The Institute of Robotics and Intelligent Systems aims to maintain cooperations with associated institutes to build a strong network of experts from various fields of robotics and intelligent systems.
University of Zurich
Robotics and Perception Group
The mission of the Robotics and Perception Group led by Prof. Davide Scaramuzza is to develop autonomous machines that can navigate all by themselves using only onboard cameras, without relying on external infrastructure, such as GPS or motion capture systems.