Collaborative Robotics and Robotic Computing: Difference between revisions

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Planning and Control under uncertainty.
Planning and Control under uncertainty.


Learning with
Machine learning based Control in safety critical applications:
 
Human-Robot Collaboration.





Latest revision as of 15:36, 9 November 2020

Goal and motivation for Collaborative Robotics and Robotics Computing Group

Our main goal is to perform research in algorithmic and applied aspects of robotics (motion planning, control and state estimation) and machine learning as applied to robotic problems for a wide set of applications ranging from human-robot collaboration, robotic manipulation to autonomous driving.

Our group consistently publishes in flagship conferences like ICRA, IROS, CDC, ACC, ECC and jorunals like Transactions on Control System Technology, Robotics and Automation Letters, Autonomous Robots etc.

PI

Arun Kumar Singh, Assoc. Professor


Research Areas

Optimization algorithms for motion planning, control and learning.

Planning and Control under uncertainty.

Machine learning based Control in safety critical applications:

Human-Robot Collaboration.


Link to Full Group Description

https://sisu.ut.ee/collabrobotics/home-0