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cs.RO2022★ 1 cited
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning
Onur Beker, Mohammad Mohammadi, Amir Zamir
To achieve autonomy in a priori unknown real-world scenarios, agents should be able to: i) act from high-dimensional sensory observations (e.g., images), ii) learn from past experi…
cs.RO2020★ 18 cited
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
Bryan Chen, Alexander Sax, Gene Lewis +5
Vision-based robotics often separates the control loop into one module for perception and a separate module for control. It is possible to train the whole system end-to-end (e.g. w…