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Skip to Search Results- 1Johnstonbaugh, Kerrick
- 1Karimi, Amirmohammad
- 1Lovi, David Israel
- 1Perez Quintero, Camilo A
- 1Petrich, Laura C.
- 1Ramirez, Oscar A
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Spring 2023
Choosing an appropriate action representation is an integral part of solving robotic manipulation problems. Published approaches include latent action models, which train context-conditioned neural networks to map lowdimensional latent actions to high-dimensional actuation commands. Such models...
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Spring 2023
Wheelchair-mounted robotic manipulators have the potential to help the elderly and individuals living with disabilities carry out their activities of daily living independently. While robotics researchers focus on assistive tasks from the perspective of various control schemes and motion types, ...
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Decision Frequency Adaptation in Reinforcement Learning Using Continuous Options with Open-Loop Policies
DownloadFall 2023
In classic reinforcement learning(RL) for continuous control, agents make decisions at discrete and fixed time intervals. The duration between decisions becomes a crucial hyperparameter. Setting it too short may increase the problem’s difficulty by requiring the agent to make numerous decisions...
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Fall 2011
This thesis addresses the problem of automatic real-time 3D reconstruction of general scenes from monocular video. Whereas many impressively accurate reconstruction techniques exist in the multi-view stereo literature, most are slow offline batch methods designed to work in highly calibrated...
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Pointing gestures for Cooperative Human-Robot Manipulation Tasks in Unstructured Environments
DownloadFall 2017
In recent years, robots have started to migrate from industrial to unstructured human environments, some examples include home robotics, search and rescue robotics, assistive robotics and service robotics. However, this migration has been at a slow pace and with only a few successes. One key...
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Spring 2016
When controlling dynamic systems such as robots a big challenge lies in defining how the desired actions will be accomplished. In industrial settings automation has been possible due to the structured and predictable environments. The repeatability of the tasks makes it viable to manually...
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Uncalibrated Vision-Based Control and Motion Planning of Robotic Arms in Unstructured Environments
DownloadFall 2012
Many robotic systems are required to operate in unstructured environments. This imposes significant challenges on algorithm design. Particularly, motion control and planning algorithms should be robust to noise and outliers, because uncertainties are inevitable. In addition, independence from...