Recent Advances in Robot Learning from Demonstration
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An experimental framework for an echolocator robot was developed and tested. The framework includes an image processing and computer vision algorithm for visual localization, odometry analysis and the tools for calculating room impulse responses. The perfo ...
Task-parameterized models provide a representation of movement/behavior that can adapt to a set of task parameters describing the current situation encountered by the robot, such as location of objects or landmarks in its workspace. This paper gives an ove ...
Technology is now an important part of our lives. We often see robots cited as the future of education, and reports of their imminent entrance in schools. New projects create buzz in the media and online, but when we look at the actual situation, very few ...
The way human beings engage with material things in our environment is experiencing rapid modification. Human and non-human, natural and artificial creatures are on the verge of building unprecedented relations of sociability. This paper takes this process ...
This paper describes a hierarchical operational space control (OSC) method based on least square optimization and outlines different ways to reduce the dimensionality of the optimization vector. The framework allows to emulate various behaviors by prioriti ...
Intelligent robotic systems that can react to unprogrammed tasks and unforeseen environmental changes require augmented "softness." Robogami, a low-profile origami robot, addresses intrinsic (material-wise) and extrinsic (mechanism-wise) softness with its ...
Robot Learning from Demonstration (RLfD) has been identified as a key element for making robots useful in daily lives. A wide range of techniques has been proposed for deriving a task model from a set of demonstrations of the task. Most previous works use ...
The Thymio II robot was designed to be used by teachers in their classrooms for a wide range of activities and at all levels of the curriculum, from very young children to the end of high school. Although the educationally oriented design of this innovativ ...
This paper studies existing direct transcription methods for trajectory optimization for robot motion planning. These methods have demonstrated to be favorable for planning dynamically feasible motions for high dimensional robots with complex dynamics. How ...
Institutional robotics (IR) is an approach to the coordination of multi-robot systems that draws inspiration from social sciences, namely from institutional economics. Using the concept of institution, it aims to provide a comprehensive strategy for specif ...