Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Rai, Akshara"'
Autor:
Min, So Yeon, Puig, Xavi, Chaplot, Devendra Singh, Yang, Tsung-Yen, Rai, Akshara, Parashar, Priyam, Salakhutdinov, Ruslan, Bisk, Yonatan, Mottaghi, Roozbeh
Language is never spoken in a vacuum. It is expressed, comprehended, and contextualized within the holistic backdrop of the speaker's history, actions, and environment. Since humans are used to communicating efficiently with situated language, the pr
Externí odkaz:
http://arxiv.org/abs/2407.12061
Autor:
Puig, Xavier, Undersander, Eric, Szot, Andrew, Cote, Mikael Dallaire, Yang, Tsung-Yen, Partsey, Ruslan, Desai, Ruta, Clegg, Alexander William, Hlavac, Michal, Min, So Yeon, Vondruš, Vladimír, Gervet, Theophile, Berges, Vincent-Pierre, Turner, John M., Maksymets, Oleksandr, Kira, Zsolt, Kalakrishnan, Mrinal, Malik, Jitendra, Chaplot, Devendra Singh, Jain, Unnat, Batra, Dhruv, Rai, Akshara, Mottaghi, Roozbeh
We present Habitat 3.0: a simulation platform for studying collaborative human-robot tasks in home environments. Habitat 3.0 offers contributions across three dimensions: (1) Accurate humanoid simulation: addressing challenges in modeling complex def
Externí odkaz:
http://arxiv.org/abs/2310.13724
We present Skill Transformer, an approach for solving long-horizon robotic tasks by combining conditional sequence modeling and skill modularity. Conditioned on egocentric and proprioceptive observations of a robot, Skill Transformer is trained end-t
Externí odkaz:
http://arxiv.org/abs/2308.09873
We present the task of "Social Rearrangement", consisting of cooperative everyday tasks like setting up the dinner table, tidying a house or unpacking groceries in a simulated multi-agent environment. In Social Rearrangement, two robots coordinate to
Externí odkaz:
http://arxiv.org/abs/2306.00087
Motion retargeting is a promising approach for generating natural and compelling animations for nonhuman characters. However, it is challenging to translate human movements into semantically equivalent motions for target characters with different mor
Externí odkaz:
http://arxiv.org/abs/2305.14792
Autor:
Yokoyama, Naoki, Clegg, Alex, Truong, Joanne, Undersander, Eric, Yang, Tsung-Yen, Arnaud, Sergio, Ha, Sehoon, Batra, Dhruv, Rai, Akshara
We present Adaptive Skill Coordination (ASC) -- an approach for accomplishing long-horizon tasks like mobile pick-and-place (i.e., navigating to an object, picking it, navigating to another location, and placing it). ASC consists of three components
Externí odkaz:
http://arxiv.org/abs/2304.00410
To enable progress towards egocentric agents capable of understanding everyday tasks specified in natural language, we propose a benchmark and a synthetic dataset called Egocentric Task Verification (EgoTV). The goal in EgoTV is to verify the executi
Externí odkaz:
http://arxiv.org/abs/2303.16975
Autor:
Pertsch, Karl, Desai, Ruta, Kumar, Vikash, Meier, Franziska, Lim, Joseph J., Batra, Dhruv, Rai, Akshara
Publikováno v:
CoRL 2022
We propose an approach for semantic imitation, which uses demonstrations from a source domain, e.g. human videos, to accelerate reinforcement learning (RL) in a different target domain, e.g. a robotic manipulator in a simulated kitchen. Instead of im
Externí odkaz:
http://arxiv.org/abs/2212.07407
If we want to train robots in simulation before deploying them in reality, it seems natural and almost self-evident to presume that reducing the sim2real gap involves creating simulators of increasing fidelity (since reality is what it is). We challe
Externí odkaz:
http://arxiv.org/abs/2207.10821
Every home is different, and every person likes things done in their particular way. Therefore, home robots of the future need to both reason about the sequential nature of day-to-day tasks and generalize to user's preferences. To this end, we propos
Externí odkaz:
http://arxiv.org/abs/2207.02442