(Redirected from IMS robotics)
Goal and motivation for robotics at IMS Lab
Robots are developed for improving the quality of our lives. Human-Robot Collaboration encompasses developing usable robots that make our everyday lives easier. Collaborative robots share their autonomy with human partners, thus improving the efficiency and quality of work in areas such as flexible manufacturing, logistics, domestic assistance, healthcare, and teleoperation in hazardous environments. We have extensive experience in research and technology of every aspect of robotics: designing electronics, mechanical engineering, software development, system integration, device building, education, and training.
- TeMoto, framework for dependable robotics,
- omnidirectional robotont platform for education and research in ROS,
- Fits.me shape-changing mannequin,
- Self-deployable Habitat for Extreme Environments (SHEE),
- Massive open online course (MOOC) about robotics in Estonia (https://sisu.ut.ee/robot).
Our inventory includes but is not limited to:
- Robotiq 2F
- Oculus Rift
- Intel RealSense, Kinect, Leap Motion Controller, Ouster OS-1
- ROS (Robot Operating System)
- Full robotics system development
- Hardware integration
- Process automation
- Motion planning and control theory
- System identification
- Data fusion
- Electronics design
- Simulations and digital twins
- Algorithm development
- Scientific publication
- ROS and engineering trainings
We always welcome new motivated students who are interested in robotics to join our team. We offer student projects on the following general topics:
- intuitive teleoperation interfaces,
- collaborative robotics for flexible manufacturing,
- autonomous ground vehicles,
- autonomous drones
- robotics education.
- TeMoto - framework for building dependable robotic applications for facilitating human-robot collaboration and autonomy (in collaboration with the Nuclear and Applied Robotics Group at UT-Austin).
- Yanu - fully autonomous robot empowered bartending unit
- robotont - open source omnidirectional mobile robot platform
- SHEE - Self-deployable Habitat for Extreme Environments, aka "the Mars house"
- Robert Valner, Jason Mario Dydynski, Sookyung Cho, Karl Kruusamäe (2021) Communication of Hazards in Mixed-Reality Telerobotic Systems: The Usage of Naturalistic Avoidance Cues in Driving Tasks, Human Factors: The Journal of the Human Factors and Ergonomics Society 63(4), 619-634.
- Fatemeh Rastgar, Houman Masnavi, Jatan Shrestha, Karl Kruusamäe, Alvo Aabloo, Arun Kumar Singh (2021) GPU Accelerated Convex Approximations for Fast Multi-Agent Trajectory Optimization, IEEE Robotics and Automation Letters 6(2), 3303 - 3310.
- Robert Valner, Karl Kruusamäe, Mitch Pryor (2018) TeMoto: Intuitive Multi-Range Telerobotic System with Natural Gestural and Verbal Instruction Interface, Robotics 7(1), 9.
- Veiko Vunder, Robert Valner, Conor McMahon, Karl Kruusamäe, Mitch Pryor (2018) Improved Situational Awareness in ROS using Panospheric Vision and Virtual Reality, 2018 11th International Conference on Human System Interaction (HSI), 471 - 477.
- Karl Kruusamäe, Mitch Pryor (2016) High-precision telerobot with human-centered variable perspective and scalable gestural interface, 2016 9th International Conference on Human System Interactions (HSI), 190-196.