35 citations · 95 across the 8 of their papers we have counts for
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cs.RO2023★ 24 cited
Torque-based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer
Donghyeon Kim, Glen Berseth, Mathew Schwartz +1
In this paper, we review the question of which action space is best suited for controlling a real biped robot in combination with Sim2Real training. Position control has been popul…
cs.RO2022
NODE IK: Solving Inverse Kinematics with Neural Ordinary Differential Equations for Path Planning
Suhan Park, Mathew Schwartz, Jaeheung Park
This paper proposes a novel inverse kinematics (IK) solver of articulated robotic systems for path planning. IK is a traditional but essential problem for robot manipulation. Recen…