5 citations · 8 across the 9 of their papers we have counts for
9 papers · 1 filter
SBlimp: Design, Model, and Translational Motion Control for a Swing-Blimp
Jiawei Xu, Diego S D'antonio, Dominic J Ammirato +1
We present an aerial vehicle composed of a custom quadrotor with tilted rotors and a helium balloon, called SBlimp. We propose a novel control strategy that takes advantage of the…
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
Diego Patiño, Siddharth Mayya, Juan Calderon +2
Aerial operation in turbulent environments is a challenging problem due to the chaotic behavior of the flow. This problem is made even more complex when a team of aerial robots is…
Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information
Jinda Cui, Jiawei Xu, David Saldaña +1
Dexterous manipulation of objects through fine control of physical contacts is essential for many important tasks of daily living. A fundamental ability underlying fine contact con…
Finding Optimal Modular Robots for Aerial Tasks
Jiawei Xu, David Saldaña
Traditional aerial vehicles have limitations in their capabilities due to actuator constraints, such as motor saturation. The hardware components and their arrangement are designed…
Dynamic Crowd Vetting: Collaborative Detection of Malicious Robots in Dynamic Communication Networks
Matthew Cavorsi, Frederik Mallmann-Trenn, David Saldaña +1
Coordination in a large number of networked robots is a challenging task, especially when robots are constantly moving around the environment and there are malicious attacks within…
Forming and Controlling Hitches in Midair Using Aerial Robots
Diego S. D'Antonio, Subhrajit Bhattacharya, David Saldaña
The use of cables for aerial manipulation has shown to be a lightweight and versatile way to interact with objects. However, fastening objects using cables is still a challenge and…