153 citations · 245 across the 10 of their papers we have counts for
6 papers · 1 filter
DynaPix SLAM: A Pixel-Based Dynamic Visual SLAM Approach
Chenghao Xu, Elia Bonetto, Aamir Ahmad
Visual Simultaneous Localization and Mapping (V-SLAM) methods achieve remarkable performance in static environments, but face challenges in dynamic scenes where moving objects seve…
Simulation of Dynamic Environments for SLAM
Elia Bonetto, Chenghao Xu, Aamir Ahmad
Simulation engines are widely adopted in robotics. However, they lack either full simulation control, ROS integration, realistic physics, or photorealism. Recently, synthetic data…
GRADE: Generating Realistic And Dynamic Environments for Robotics Research with Isaac Sim
Elia Bonetto, Chenghao Xu, Aamir Ahmad
Synthetic data and novel rendering techniques have greatly influenced computer vision research in tasks like target tracking and human pose estimation. However, robotics research h…
Active Visual SLAM with Independently Rotating Camera
Elia Bonetto, Pascal Goldschmid, Michael J. Black +1
In active Visual-SLAM (V-SLAM), a robot relies on the information retrieved by its cameras to control its own movements for autonomous mapping of the environment. Cameras are usual…
iRotate: Active Visual SLAM for Omnidirectional Robots
Elia Bonetto, Pascal Goldschmid, Michael Pabst +2
In this paper, we present an active visual SLAM approach for omnidirectional robots. The goal is to generate control commands that allow such a robot to simultaneously localize its…
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning
Rahul Tallamraju, Nitin Saini, Elia Bonetto +4
In this letter, we introduce a deep reinforcement learning (RL) based multi-robot formation controller for the task of autonomous aerial human motion capture (MoCap). We focus on v…