35 citations · 44 across the 3 of their papers we have counts for
7 papers
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…
AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation
Nitin Saini, Elia Bonetto, Eric Price +2
In this letter, we present a novel markerless 3D human motion capture (MoCap) system for unstructured, outdoor environments that uses a team of autonomous unmanned aerial vehicles…
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…
Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems
Rahul Tallamraju, Durgesh Haribhau Salunkhe, Sujit Rajappa +3
In this paper, a kinematic motion planning algorithm for cooperative spatial payload manipulation is presented. A hierarchical approach is introduced to compute real-time collision…
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…