Aligning cyber space with physical world: A comprehensive survey on embodied ai
Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Web service composition: a survey of techniques and tools
Web services are a consolidated reality of the modern Web with tremendous, increasing
impact on everyday computing tasks. They turned the Web into the largest, most accepted …
impact on everyday computing tasks. They turned the Web into the largest, most accepted …
Llm+ p: Empowering large language models with optimal planning proficiency
Large language models (LLMs) have demonstrated remarkable zero-shot generalization
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …
abilities: state-of-the-art chatbots can provide plausible answers to many common questions …
Grammar prompting for domain-specific language generation with large language models
Large language models (LLMs) can learn to perform a wide range of natural language tasks
from just a handful of in-context examples. However, for generating strings from highly …
from just a handful of in-context examples. However, for generating strings from highly …
Alfworld: Aligning text and embodied environments for interactive learning
Given a simple request like Put a washed apple in the kitchen fridge, humans can reason in
purely abstract terms by imagining action sequences and scoring their likelihood of success …
purely abstract terms by imagining action sequences and scoring their likelihood of success …
Teach: Task-driven embodied agents that chat
Robots operating in human spaces must be able to engage in natural language interaction,
both understanding and executing instructions, and using conversation to resolve ambiguity …
both understanding and executing instructions, and using conversation to resolve ambiguity …
Symbiotic human-robot collaborative assembly
In human-robot collaborative assembly, robots are often required to dynamically change
their pre-planned tasks to collaborate with human operators in a shared workspace …
their pre-planned tasks to collaborate with human operators in a shared workspace …
Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments
We introduce BEHAVIOR, a benchmark for embodied AI with 100 activities in simulation,
spanning a range of everyday household chores such as cleaning, maintenance, and food …
spanning a range of everyday household chores such as cleaning, maintenance, and food …
From skills to symbols: Learning symbolic representations for abstract high-level planning
We consider the problem of constructing abstract representations for planning in high-
dimensional, continuous environments. We assume an agent equipped with a collection of …
dimensional, continuous environments. We assume an agent equipped with a collection of …
Domain adaptation for object recognition: An unsupervised approach
R Gopalan, R Li, R Chellappa - 2011 international conference …, 2011 - ieeexplore.ieee.org
Adapting the classifier trained on a source domain to recognize instances from a new target
domain is an important problem that is receiving recent attention. In this paper, we present …
domain is an important problem that is receiving recent attention. In this paper, we present …