Offline reinforcement learning (RL) methods strike a balance between
exp...
Complex manipulation tasks often require robots with complementary
capab...
We introduce Alexa Arena, a user-centric simulation platform for Embodie...
For service robots to become general-purpose in everyday household
envir...
We introduce OPEND, a benchmark for learning how to use a hand to open
c...
We propose a multimodal (vision-and-language) benchmark for cooperative ...
Users interacting with voice assistants today need to phrase their reque...
Language-guided Embodied AI benchmarks requiring an agent to navigate an...
Recent years have witnessed an emerging paradigm shift toward embodied
a...
Language-enabled AI systems can answer complex, multi-hop questions to h...
Learning-based methods for training embodied agents typically require a ...
Large-scale, pre-trained language models (LMs) have achieved human-level...
Language-guided robots performing home and office tasks must navigate in...
Embodied instruction following is a challenging problem requiring an age...
Current conversational AI systems aim to understand a set of pre-designe...
Commonsense knowledge and commonsense reasoning are some of the main
bot...
One significant simplification in most previous work on robot learning i...