29 citations · 29 across the 2 of their papers we have counts for
2 papers
eess.SY2021★ 29 cited
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces
Kyle R. Williams, Rachel Schlossman, Daniel Whitten +8
This paper presents a technique for trajectory planning based on continuously parameterized high-level actions (motion primitives) of variable duration. This technique leverages de…
cs.RO2019
A Study of a Class of Vibration-Driven Robots: Modeling, Analysis, Control and Design of the Brushbot
Gennaro Notomista, Siddharth Mayya, Anirban Mazumdar +2
In this paper we present a study of a specific class of vibration-driven robots: the brushbots. In a bottom-up fashion, we start by deriving dynamic models of the brushes and we di…