Billie Strong — accepted AI-conference papers

2023

Autonomous 3D Position Control for a Safe Single Motor Micro Aerial Vehicle

Andrew G. Curtis, Billie Strong, Edward B. Steager, Mark Yim, Michael Rubenstein

RA-L 2023

We present the Maneuverable Piccolissimo 2 (MP2), an autonomous, controllable, single motor micro aerial vehicle (MAV). The small size of MP2 makes it safe to operate in the presence of humans, and its simple design facilitates the creation of large swarms of capable MAVs. MP2 is equipped with on-bo

Cited by 4 Source ↗Scholar ↗

2023

Human-Multirobot Collaborative Mobile Manipulation: The Omnid Mocobots

Matthew L. Elwin, Billie Strong, Randy A. Freeman, Kevin M. Lynch

RA-L 2023

The Omnid human-collaborative mobile manipulators are an experimental platform for testing control architectures for autonomous and human-collaborative multirobot mobile manipulation. An Omnid consists of a mecanum-wheel omnidirectional mobile base and a series-elastic Delta-type parallel manipulato

Cited by 31 Source ↗Scholar ↗