Corpus ID: 46266981

Aerial Informatics and Robotics Platform

@inproceedings{Shah2017AerialIA,
  title={Aerial Informatics and Robotics Platform},
  author={S. Shah and Debadeepta Dey and C. Lovett and Ashish Kapoor},
  year={2017}
}
Machine Learning technologies are increasingly becoming an important tool in building autonomous systems. Learning-based techniques have been useful but typically need a large amount of training data, which is an expensive and time consuming process. Often collecting such data is non-trivial and introduces safety concerns. Consequently, it is becoming increasingly important to be able to accurately simulate the physical environment that autonomous vehicles/robots would operate in. We present a… Expand
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References

SHOWING 1-10 OF 25 REFERENCES
Learning for Autonomous Navigation
  • 65
  • PDF
OpenRAVE: A Planning Architecture for Autonomous Robotics
  • 421
  • PDF
Design and use paradigms for Gazebo, an open-source multi-robot simulator
  • N. Koenig, A. Howard
  • Engineering, Computer Science
  • 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)
  • 2004
  • 1,833
  • PDF
Reinforcement learning in robotics: A survey
  • 1,676
  • PDF
RotorS—A Modular Gazebo MAV Simulator Framework
  • 223
Construction and validation of a high fidelity simulator for a planar range sensor
  • 5
  • PDF
Comprehensive Simulation of Quadrotor UAVs Using ROS and Gazebo
  • 211
  • PDF
An Invitation to Imitation
  • 50
  • PDF
A robust approach to high‐speed navigation for unrehearsed desert terrain
  • 116
  • PDF
PIXHAWK: A system for autonomous flight using onboard computer vision
  • 297
  • PDF
...
1
2
3
...