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Robots learning actions and goals from everyday people
(Georgia Institute of Technology, 2015-11-16)
Robots are destined to move beyond the caged factory floors towards domains where they will be interacting closely with humans. They will encounter highly varied environments, scenarios and user demands. As a result, ...
Efficient and principled robot learning: Theory and algorithms
(Georgia Institute of Technology, 2020-01-07)
Roboticists have long envisioned fully-automated robots that can operate reliably in unstructured environments. This is an exciting but extremely difficult problem; in order to succeed, robots must reason about sequential ...
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)
An architecture for intelligent robotic sensor fusion
(Georgia Institute of Technology, 1992)
A design methodology for the configuration of behavior-based mobile robots
(Georgia Institute of Technology, 1996)
Multiagent telerobotics : matching systems to tasks
(Georgia Institute of Technology, 1999-05)
Time-optimal sampling-based motion planning for manipulators with acceleration limits
(Georgia Institute of Technology, 2015-04-07)
Robot actuators have physical limitations in how fast they can change their velocity. The more accurately planning algorithms consider these limitations, the better the robot is able to perform.
Sampling-based algorithms ...
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 ...