1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2024
ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning
Yue Yang, Bryce Ikeda, Gedas Bertasius +1
Robot Imitation Learning (IL) is a crucial technique in robot learning, where agents learn by mimicking human demonstrations. However, IL encounters scalability challenges stemming…
cs.RO2024★ 1 cited
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
Yue Yang, Bryce Ikeda, Gedas Bertasius +1
Robot Imitation Learning (IL) is a widely used method for training robots to perform manipulation tasks that involve mimicking human demonstrations to acquire skills. However, its…
cs.CV2020
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Jing Shi, Zhiheng Li, Haitian Zheng +30
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020…