Abstract / Description of output
The success of robots in real-world environments is largely dependent on their ability to interact with both humans and said environment. The FP7 EU project CoDyCo focused on the latter of these two challenges by exploiting both rigid
and compliant contacts dynamics in the robot control problem. Regarding the former, to properly manage interaction dynamics on the robot control side, an estimation of the human behaviours and intentions is necessary. In this paper we present the building blocks of such a human-in-the-loop controller, and validate them in both simulation and on the iCub humanoid robot using a
human-robot interaction scenario. In this scenario, a human assists the robot in standing up from being seated on a bench.
and compliant contacts dynamics in the robot control problem. Regarding the former, to properly manage interaction dynamics on the robot control side, an estimation of the human behaviours and intentions is necessary. In this paper we present the building blocks of such a human-in-the-loop controller, and validate them in both simulation and on the iCub humanoid robot using a
human-robot interaction scenario. In this scenario, a human assists the robot in standing up from being seated on a bench.
Original language | English |
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Pages (from-to) | 516-523 |
Number of pages | 8 |
Journal | IEEE Robotics and Automation Letters |
Volume | 3 |
Issue number | 1 |
Early online date | 2 Nov 2017 |
DOIs | |
Publication status | Published - Jan 2018 |
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Michael Mistry
- School of Informatics - Personal Chair of Robotics
- Institute of Perception, Action and Behaviour
- Language, Interaction, and Robotics
Person: Academic: Research Active