Automatic Self-Calibration of a Vision System during Robot Motion
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The coordination of multi-robot systems is becoming one of the most important areas of research in robotics, mostly because it is required by numerous complex applications. These applications range from intelligent transportation systems, search and rescue ...
This paper proposed a fuzzy controller for the autonomous navigation problem of robotic systems in a dynamic and uncertain environment. In particular, we are interested in determining the robot motion to reach the target while ensuring their own safety and ...
Some of the next generation massive spectroscopic survey projects, plan to use thousands of fiber positioner robots packed at a focal plane to quickly move in parallel the fiber-ends from the previous to the next target points. The most direct trajectories ...
Relative positioning systems play a vital role in current multi-robot systems. We present a self-contained detection and tracking approach, where a robot estimates a distance (range) and an angle (bearing) to another robot using measurements extracted from ...
Miniaturisation will be the key challenge for the next decade in numerous industrial fields, such as microelectronics, optics and biomedical engineering. Although most of their products already achieve footprints of some square millimeters, the trend towar ...
For many real-life applications such as monitoring, mapping, search-and-rescue or ad-hoc communication networks, fleets of flying robots are expected to out-perform existing solutions. Robots can join forces to cover larger areas in less time, act as effic ...
In this paper we present an approach to the problem of stabilizating the gaze of legged robots using Adaptive Frequency Oscillators to learn the frequency, phase and amplitude of the optical flow and generate compensatory commands during robot locomotion. ...
Ultra-wideband (UWB) localization is one of the most promising indoor localization methods. Yet, non-line-ofsight (NLOS) positioning scenarios remain a challenge and can potentially cause significant localization errors. In this work, we leverage the utili ...
An experimental framework for an echolocator robot was developed and tested. The framework includes an image processing and computer vision algorithm for visual localization, odometry analysis and the tools for calculating room impulse responses. The perfo ...
This paper introduces a novel batch optimization based calibration framework for legged robots. Given a nondegenerate calibration dataset and considering the stochastic models of the sensors, the task is formulated as a maximum likelihood problem. In order ...