In static environments, visual simultaneous localization and mapping (V-...
Simulation engines are widely adopted in robotics. However, they lack ei...
Recently, synthetic data generation and realistic rendering has advanced...
Datasets that allow the training of common objects or human detectors ar...
Deep reinforcement learning (DRL) frameworks are increasingly used to so...
Due to their superior energy efficiency, blimps may replace quadcopters ...
Simulation engines like Gazebo, Unity and Webots are widely adopted in
r...
Multi-rotor UAVs suffer from a restricted range and flight duration due ...
Annotating object ground truth in videos is vital for several downstream...
Markerless human motion capture (mocap) from multiple RGB cameras is a w...
For tracking and motion capture (MoCap) of animals in their natural habi...
Blimps are well suited to perform long-duration aerial tasks as they are...
In this letter, we present a novel markerless 3D human motion capture (M...
Aerial robot solutions are becoming ubiquitous for an increasing number ...
In active Visual-SLAM (V-SLAM), a robot relies on the information retrie...
UAVs have found an important application in archaeological mapping. Majo...
In this letter, we present an active visual SLAM approach for omnidirect...
Abstract. Fixed wing and multirotor UAVs are common in the field of robo...
In this letter, we introduce a deep reinforcement learning (RL) based
mu...
In this paper, a kinematic motion planning algorithm for cooperative spa...
Autonomous motion capture (mocap) systems for outdoor scenarios involvin...
In this work, we consider the problem of decentralized multi-robot targe...
Multi-camera full-body pose capture of humans and animals in outdoor
env...