Now showing items 1-8 of 8
Teaching robots about human environments: Leveraging human interaction to efficiently learn and use multisensory object affordances
(Georgia Institute of Technology, 2018-01-09)
The real world is complex, unstructured, and contains high levels of uncertainty. Although past work shows that robots can successfully operate in situations where a single skill is needed, they will need a framework that ...
Behavioral diversity in learning robot teams
(Georgia Institute of Technology, 1998)
Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior
(Georgia Institute of Technology, 2008-10-21)
Recently in robotics, substantial efforts have been invested on critical applications such as military, nursing, and search-and-rescue. These applications are critical in a sense that the robots may directly deal with human ...
Applying inter-layer conflict resolution to hybrid robot control architectures
(Georgia Institute of Technology, 2010-01-20)
In this document, we propose and examine the novel use of a learning mechanism between the reactive and deliberative layers of a hybrid robot control architecture. Balancing the need to achieve complex goals and meet ...
Communication and alignment of grounded symbolic knowledge among heterogeneous robots
(Georgia Institute of Technology, 2010-04-05)
Experience forms the basis of learning. It is crucial in the development of human intelligence, and more broadly allows an agent to discover and learn about the world around it. Although experience is fundamental to ...
Guided teaching interactions with robots: embodied queries and teaching heuristics
(Georgia Institute of Technology, 2012-05-17)
The vision of personal robot assistants continues to become more realistic with technological advances in robotics. The increase in the capabilities of robots, presents boundless opportunities for them to perform useful ...
Task transparency in learning by demonstration : gaze, pointing, and dialog
(Georgia Institute of Technology, 2010-07-07)
This body of work explores an emerging aspect of human-robot interaction, transparency. Socially guided machine learning has proven that highly immersive robotic behaviors have yielded better results than lesser interactive ...
Physics-based reinforcement learning for autonomous manipulation
(Georgia Institute of Technology, 2015-08-21)
With recent research advances, the dream of bringing domestic robots into our everyday lives has become more plausible than ever. Domestic robotics has grown dramatically in the past decade, with applications ranging from ...