4 papers
Bicycle Acrobatics with Reinforcement Learning
Shamel Fahmi, Arianna Ilvonen, Samuel Zapolsky +8
Bicycle robots are fast and energy efficient, but their simple mechanical design and their underactuated and non-holonomic dynamics make highly agile maneuvers difficult to achieve…
LineRides: Line-Guided Reinforcement Learning for Bicycle Robot Stunts
Seungeun Rho, Shamel Fahmi, Jeonghwan Kim +3
Designing reward functions for agile robotic maneuvers in reinforcement learning remains difficult, and demonstration-based approaches often require reference motions that are unav…
Flip Stunts on Bicycle Robots using Iterative Motion Imitation
Jeonghwan Kim, Shamel Fahmi, Seungeun Rho +2
This work demonstrates a front-flip on bicycle robots via reinforcement learning, particularly by imitating reference motions that are infeasible and imperfect. To address this, we…
Integrable Whole-body Orientation Coordinates for Legged Robots
Yu-Ming Chen, Gabriel Nelson, Robert Griffin +2
Complex multibody legged robots can have complex rotational control challenges. In this paper, we propose a concise way to understand and formulate a \emph{whole-body orientation}…