An optimization technique for identifying robot manipulator ...
In this study, we focus on the accuracy improvement of practical robot manipulation under uncertainty, resulting in path-specific error values.
[PDF] Manipulation for self-Identification, and self-Identification ... - NSF PAR
sensors, we focus on equipping robots with the ability to actively self-identify necessary model parameters using minimal sensing. Here, we derive ...
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An optimization technique for identifying robot manipulator ... - NCBI
In this study, we focus on the accuracy improvement of practical robot manipulation under uncertainty, resulting in path-specific error values.
Manipulation for self-Identification, and self ... - ResearchGate
Relying solely on an in-hand camera, our system can effectively self-identify the VLRs, even when some fingers are replaced with novel designs. In addition, we ...
A survey of robot manipulation in contact - ScienceDirect.com
In this survey we present an overview of how robots perform contact-rich tasks, which we call manipulation in contact; the contact can be between the robot's ...
[PDF] Manipulation Under Uncertainty - Albert-Ludwigs-Universität Freiburg
In the current approach to automated manufacturing, robots behind cages are programmed via tedious teach-in to perform repetitive tasks. This approach is.
An Attention Transfer Model for Human-Assisted Failure Avoidance ...
Abstract:Due to real-world dynamics and hardware uncertainty, robots inevitably fail in task executions, resulting in undesired or even ...
RI Seminar: Sidd Srinivasa: Robotic Manipulation... - YouTube
... robot and the human. I ... helped produce state of the art algorithms for object recognition ...
Force Modeling, Identification, and Feedback Control of Robot ...
The goal of this review is to summarize the key components surrounding the force feedback and control during robot-assisted needle insertion. The literature ...