Now showing items 1-4 of 4
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, ...
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 ...
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 ...
The roles of allocentric representations in autonomous local navigation
(Georgia Institute of Technology, 2015-02-20)
In this thesis, I study the computational advantages of the allocentric represen- tation as compared to the egocentric representation for autonomous local navigation. Whereas in the allocentric framework, all variables of ...