Now showing items 1-10 of 197
The reduction of compliance in space-based redundant degree-of-freedom manipulators
(Georgia Institute of Technology, 1989)
Construction risk analysis
(Georgia Institute of Technology, 1985)
Assistive mobile manipulation for users with severe motor impairments
(Georgia Institute of Technology, 2017-07-26)
Mobile robots that can physically manipulate their environments have the potential to help persons with motor impairments perform a variety of tasks, including self-care tasks. Such assistive mobile manipulators (AMMs) ...
Towards quantifying upper-arm rehabilitation metrics for children through interaction with a humanoid robot
(Georgia Institute of Technology, 2012-04-24)
The objective of this research effort is to further rehabilitation techniques for children by developing and validating the core technologies needed to integrate therapy instruction with child-robot play interaction in ...
Rapid haptic perception using force and thermal sensing
(Georgia Institute of Technology, 2017-08-01)
Tactile sensing can enable a robot to infer properties of its surroundings. Recent research has focused on robots that haptically perceive the world through exploratory behaviors that occur over tens of seconds. During ...
Local encounters in robot swarms: From localization to density regulation
(Georgia Institute of Technology, 2019-11-11)
In naturally occurring swarms---living as well as non-living---local proximity encounters among individuals or particles in the collective facilitate a broad range of emergent phenomena. In the context of robot swarms ...
Walk-away automation of in-vitro patch-clamp electrophysiology
(Georgia Institute of Technology, 2017-10-17)
The complexity of the brain makes it a difficult target for systematized study. This is evidenced by the fact that to date, no unified taxonomy of cell type or connectivity pattern has emerged in the field of neuroscience. ...
Humans teaching intelligent agents with verbal instruction
(Georgia Institute of Technology, 2019-04-15)
The widespread integration of robotics into everyday life requires significant improvement in the underlying machine learning (ML) agents to make them more accessible, customizable, and intuitive for ordinary individuals ...
Learning control via probabilistic trajectory optimization
(Georgia Institute of Technology, 2017-11-29)
A central problem in the field of robotics is to develop real-time planning and control algorithms for autonomous systems to behave intelligently under uncertainty. While classical optimal control provides a general ...
In vivo serial patch clamp robotics for cell-type identification in the mouse visual cortex
(Georgia Institute of Technology, 2016-11-15)
Our ability to probe the immense complexity of the brain, with its approximately 80 billion neurons, is currently limited by the available tools to record and modulate neural activity within intact, functioning, neural ...