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EPFL > STI > IMT > LASA > Research > Machine learning applied to robotics
Human-Robot Interaction
Machine Learning with Application to Robotics
Fast Adaptive Control
Dexterous Manipulation and Grasping
Computational Neuroscience and Cognitive Modeling

Machine learning with applications to robotics

We look at tasks that require a sequence of actions that range from single arm motions, fine manipulation and coordinated behaviors. We use knowledge acquired by observing humans performing a task or by directly guiding the robot through kinesthetic demonstrations.

We develop approaches and applications that:
  • segment a task in a sequence of meaningful actions with minimal human interference
  • extract task constraints that are key to successful execution of the task
  • make it easier to teach robots new tasks, focusing on tasks that require the skill of response to physical perturbations
  • develop an intuitive way to provide corrections and refine teaching during task execution

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