39 citations · 56 across the 6 of their papers we have counts for
6 papers
Autonomous Docking of Multi-Rotor UAVs on Blimps under the Influence of Wind Gusts
Pascal Goldschmid, Aamir Ahmad
Multi-rotor UAVs face limited flight time due to battery constraints. Autonomous docking on blimps with onboard battery recharging and data offloading offers a promising solution f…
A Multi-Simulation Approach with Model Predictive Control for Anafi Drones
Pascal Goldschmid, Aamir Ahmad
Simulation frameworks are essential for the safe development of robotic applications. However, different components of a robotic system are often best simulated in different enviro…
Reinforcement Learning based Autonomous Multi-Rotor Landing on Moving Platforms
Pascal Goldschmid, Aamir Ahmad
Multi-rotor UAVs suffer from a restricted range and flight duration due to limited battery capacity. Autonomous landing on a 2D moving platform offers the possibility to replenish…
Autonomous Blimp Control using Deep Reinforcement Learning
Yu Tang Liu, Eric Price, Pascal Goldschmid +2
Aerial robot solutions are becoming ubiquitous for an increasing number of tasks. Among the various types of aerial robots, blimps are very well suited to perform long-duration tas…
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…