103 citations · 251 across the 38 of their papers we have counts for
5 papers · 1 filter
Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng +1
Grounding language to the visual observations of a navigating agent can be performed using off-the-shelf visual-language models pretrained on Internet-scale data (e.g., image capti…
Grounding Language with Visual Affordances over Unstructured Data
Oier Mees, Jessica Borja-Diaz, Wolfram Burgard
Recent works have shown that Large Language Models (LLMs) can be applied to ground natural language to a wide variety of robot skills. However, in practice, learning multi-task, la…
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit +2
Everyday tasks of long-horizon and comprising a sequence of multiple implicit subtasks still impose a major challenge in offline robot control. While a number of prior methods aime…
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data
Oier Mees, Lukas Hermann, Wolfram Burgard
A long-standing goal in robotics is to build robots that can perform a wide range of daily tasks from perceptions obtained with their onboard sensors and specified only via natural…
Affordance Learning from Play for Sample-Efficient Policy Learning
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit +3
Robots operating in human-centered environments should have the ability to understand how objects function: what can be done with each object, where this interaction may occur, and…