2 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos
Albert J. Zhai, Kuo-Hao Zeng, Jiasen Lu +3
The ability to learn manipulation skills by watching videos of humans has the potential to unlock a new source of highly scalable data for robot learning. Here, we tackle prehensil…
Human-like Navigation in a World Built for Humans
Bhargav Chandaka, Gloria X. Wang, Haozhe Chen +3
When navigating in a man-made environment they haven't visited before--like an office building--humans employ behaviors such as reading signs and asking others for directions. Thes…
Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving
Yuan Shen, Bhargav Chandaka, Zhi-hao Lin +4
We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framework to test autonomous vehicles' performance in the real world under safety-critical scenarios. Sim-on-wheels…
Learning Visually Guided Latent Actions for Assistive Teleoperation
Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey +1
It is challenging for humans -- particularly those living with physical disabilities -- to control high-dimensional, dexterous robots. Prior work explores learning embedding functi…