Voxnet: A 3d convolutional neural network for real-time object recognition
Robust object recognition is a crucial skill for robots operating autonomously in real world
environments. Range sensors such as LiDAR and RGBD cameras are increasingly found in …
environments. Range sensors such as LiDAR and RGBD cameras are increasingly found in …
3d convolutional neural networks for landing zone detection from lidar
We present a system for the detection of small and potentially obscured obstacles in
vegetated terrain. The key novelty of this system is the coupling of a volumetric occupancy …
vegetated terrain. The key novelty of this system is the coupling of a volumetric occupancy …
Data-driven planning via imitation learning
Robot planning is the process of selecting a sequence of actions that optimize for a task=
specific objective. For instance, the objective for a navigation task would be to find collision …
specific objective. For instance, the objective for a navigation task would be to find collision …
Emergency flight planning for an energy-constrained multicopter
AJ Ten Harmsel, IJ Olson, EM Atkins - Journal of Intelligent & Robotic …, 2017 - Springer
Abstract Small Unmanned Aircraft Systems (UAS) have diverse commercial applications.
Risk mitigation techniques must be developed to minimize the probability of harm to persons …
Risk mitigation techniques must be developed to minimize the probability of harm to persons …
Results of the pilot assistance system “Assisted Low-Level Flight and Landing on Unprepared Landing Sites” obtained with the ACT/FHS research rotorcraft
S Greiser, R Lantzsch, J Wolfram, J Wartmann… - Aerospace Science and …, 2015 - Elsevier
Abstract The DLR project ALLFlight (Assisted Low-Level Flight and Landing on Unprepared
Landing Sites) deals with the development of a helicopter pilot assistance system, to provide …
Landing Sites) deals with the development of a helicopter pilot assistance system, to provide …
An Automated Emergency Landing System for Fixed‐Wing Aircraft: Planning and Control
A number of hurdles must be overcome in order to integrate unmanned aircraft into civilian
airspace for routine operations. The ability of the aircraft to land safely in an emergency is …
airspace for routine operations. The ability of the aircraft to land safely in an emergency is …
Bayesian active edge evaluation on expensive graphs
Robots operate in environments with varying implicit structure. For instance, a helicopter
flying over terrain encounters a very different arrangement of obstacles than a robotic arm …
flying over terrain encounters a very different arrangement of obstacles than a robotic arm …
[PDF][PDF] TALOS: An unmanned cargo delivery system for rotorcraft landing to unprepared sites
J Paduano, J Wissler, G Drozeski… - American Helicopter …, 2015 - researchgate.net
This paper describes the Tactical Autonomous Aerial LOgistics System (TALOS), developed
and flight tested during the first phase of the Office of Naval Research (ONR) Autonomous …
and flight tested during the first phase of the Office of Naval Research (ONR) Autonomous …
A κite in the wind: Smooth trajectory optimization in a moving reference frame
A significant challenge for unmanned aerial vehicles capable of flying long distances is
planning in a wind field. Although there has been a plethora of work on the individual topics …
planning in a wind field. Although there has been a plethora of work on the individual topics …
[BOOK][B] Informed anytime search for continuous planning problems
JD Gammell - 2017 - search.proquest.com
Navigating uncontrolled dynamic environments is a major challenge in robotics. Success
requires solving many different technical problems and path planning is a key component of …
requires solving many different technical problems and path planning is a key component of …