Now showing items 1-10 of 27
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 ...
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 ...
Search-based collision-free motion planning for robotic sculpting
(Georgia Institute of Technology, 2020-07-28)
In this work, I explore the task of robot sculpting. I propose a search-based planning algorithm to solve the problem of sculpting by material removal with a multi-axis manipulator. I generate collision free trajectories ...
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)
An architecture for intelligent robotic sensor fusion
(Georgia Institute of Technology, 1992)
Behavioral diversity in learning robot teams
(Georgia Institute of Technology, 1998)
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 ...
Object categorization for affordance prediction
(Georgia Institute of Technology, 2008-07-01)
A fundamental requirement of any autonomous robot system is the ability to predict the affordances of its environment, which define how the robot can interact with various objects. In this dissertation, we demonstrate that ...