Search
Skip to Search Results- 1Ahmad, Junaid
- 1Birkbeck, Neil Aylon Charles
- 1Farahmand, Amir-massoud
- 1Gridseth, Mona
- 1He, Shida
- 1Jin, Jun
- 7Robotics
- 2Human Robot Interaction
- 2Image registration
- 2Incremental
- 2Machine Learning
- 2Neural Network
-
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...
-
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...
-
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, ...
-
Spring 2018
Semantic segmentation is about classifying every pixel in an image. In recent years, methods based on Fully Convolutional Networks (FCN) have dominated this field in terms of segmentation accuracy. We are interested in tackling the challenges that these methods are faced with. First, it is...
-
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...
-
Fall 2011
Photo-realistic renderings of humans are required for real-time graphics applications, and accurate human models are useful in applications such as model-based tracking. Non-rigid deformations of humans, e.g., deforming cloth and muscle bulging, are hard to model geometrically and are inefficient...
-
A NEW VISUAL TRACKING ALGORITHM BASED ON TEMPLATE REGISTRATION FOR ACCURATE OBJECT TRACKING
DownloadSpring 2016
Visual tracking serves an important role in a wide variety of applications like video surveillance, robotic manipulation and augmented reality. The goal of tracking in the last two cases here is to efficiently and accurately locate the object in each frame of an image sequence/stream, with the...
-
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...
-
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...
-
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...