Efficient planning under uncertainty for a target-tracking micro-aerial vehicle
R He, A Bachrach, N Roy - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
R He, A Bachrach, N Roy - groups.csail.mit.edu
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
R He, A Bachrach, N Roy - Citeseer
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
Efficient planning under uncertainty for a target-tracking micro-aerial vehicle
R He, A Bachrach, N Roy - 2010 IEEE International Conference on Robotics and … - infona.pl
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
R He, A Bachrach, N Roy - scholar.archive.org
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
A Bachrach, R He, N Roy - icml-2011.org
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
A Bachrach, R He, N Roy - icml.cc
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
R He, A Bachrach, N Roy - fileadmin.cs.lth.se
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
R He, A Bachrach, N Roy - groups.csail.mit.edu
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …
[PDF][PDF] Efficient Planning under Uncertainty for a Target-Tracking Micro-Aerial Vehicle
A Bachrach, R He, N Roy - Citeseer
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The
agent has partial information of each target's pose, and must reason about its uncertainty of …
agent has partial information of each target's pose, and must reason about its uncertainty of …