4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.RO2025★ 1 cited
Improving Low-Cost Teleoperation: Augmenting GELLO with Force
Shivakanth Sujit, Luca Nunziante, Dan Ogawa Lillrank +2
In this work we extend the low-cost GELLO teleoperation system, initially designed for joint position control, with additional force information. Our first extension is to implemen…
cs.LG2021★ 4 cited
A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran, Dan Ogawa Lillrank
The introduction of the generative adversarial imitation learning (GAIL) algorithm has spurred the development of scalable imitation learning approaches using deep neural networks.…