103 citations · 116 across the 15 of their papers we have counts for
4 papers · 2 filters
GOAT: GO to Any Thing
Matthew Chang, Theophile Gervet, Mukul Khanna +10
In deployment scenarios such as homes and warehouses, mobile robots are expected to autonomously navigate for extended periods, seamlessly executing tasks articulated in terms that…
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts
Huang Huang, Satvik Sharma, Antonio Loquercio +3
This paper focuses on the problem of detecting and reacting to changes in the distribution of a sensorimotor controller's observables. The key idea is the design of switching polic…
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…
What Matters to You? Towards Visual Representation Alignment for Robot Learning
Ran Tian, Chenfeng Xu, Masayoshi Tomizuka +2
When operating in service of people, robots need to optimize rewards aligned with end-user preferences. Since robots will rely on raw perceptual inputs like RGB images, their rewar…