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Deep Residual Reinforcement Learning based Autonomous Blimp Control
Yu Tang Liu, Eric Price, Michael J. Black +1
Blimps are well suited to perform long-duration aerial tasks as they are energy efficient, relatively silent and safe. To address the blimp navigation and control task, in previous…
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…
Active Perception based Formation Control for Multiple Aerial Vehicles
Rahul Tallamraju, Eric Price, Roman Ludwig +4
Autonomous motion capture (mocap) systems for outdoor scenarios involving flying or mobile cameras rely on i) a robotic front-end to track and follow a human subject in real-time w…
Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios
Rahul Tallamraju, Sujit Rajappa, Michael Black +2
In this work, we consider the problem of decentralized multi-robot target tracking and obstacle avoidance in dynamic environments. Each robot executes a local motion planning algor…