1,000 research outputs found
The Development of LLMs for Embodied Navigation
In recent years, the rapid advancement of Large Language Models (LLMs) such
as the Generative Pre-trained Transformer (GPT) has attracted increasing
attention due to their potential in a variety of practical applications. The
application of LLMs with Embodied Intelligence has emerged as a significant
area of focus. Among the myriad applications of LLMs, navigation tasks are
particularly noteworthy because they demand a deep understanding of the
environment and quick, accurate decision-making. LLMs can augment embodied
intelligence systems with sophisticated environmental perception and
decision-making support, leveraging their robust language and image-processing
capabilities. This article offers an exhaustive summary of the symbiosis
between LLMs and embodied intelligence with a focus on navigation. It reviews
state-of-the-art models, research methodologies, and assesses the advantages
and disadvantages of existing embodied navigation models and datasets. Finally,
the article elucidates the role of LLMs in embodied intelligence, based on
current research, and forecasts future directions in the field. A comprehensive
list of studies in this survey is available at
https://github.com/Rongtao-Xu/Awesome-LLM-E
Cog and the Creativity of God
The construction of a humanoid robot may be within reach. The science of artificial intelligence (AI) offers new understandings to contemporary Christian theology. First of all, the emerging field of embodied intelligence discloses the wholeness of the human being, correcting the tendency in Christian theology toward an anthropological dualism of body and soul. Secondly, artificial intelligence offers fresh understandings of the human mind, with implications for how human creativity reflects the creativity of God
Hubert Dreyfus on Practical and Embodied Intelligence
This chapter treats Hubert Dreyfus’ account of skilled coping as part of his wider project of demonstrating the sovereignty of practical intelligence over all other forms of intelligence. In contrast to the standard picture of human beings as essentially rational, individual agents, Dreyfus argued powerfully on phenomenological and empirical grounds that humans are fundamentally embedded, absorbed, and embodied. These commitments are present throughout Dreyfus’ philosophical writings, from his critique of Artificial Intelligence research in the 1970s and 1980s to his rejection of John McDowell’s conceptualism in his 2005 APA Presidential Address. The present chapter articulates Dreyfus’ proposal for a contentless, non-mentalistic form of intentionality by contrasting his position with that of his U.C. Berkeley colleague John Searle and defending it as a plausible alternative to the so-called “Standard Story” of intentional action as the effect of an agent’s mental states
Embodied Intelligence in Soft Robotics Through Hardware Multifunctionality
The soft robotics community is currently wondering what the future of soft robotics is.
Therefore, it is very important to identify the directions in which the community should focus
its efforts to consolidate its impact. The identification of convincing applications is a priority,
especially to demonstrate that some achievements already represent an attractive
alternative to current technological approaches in specific scenarios. However, most of
the added value of soft robotics has been only theoretically grasped. Embodied
Intelligence, being of these theoretical principles, represents an interesting approach to
fully exploit soft robotic’s potential, but a pragmatic application of this theory still remains
difficult and very limited. A different design approach could be beneficial, i.e., the
integration of a certain degree of continuous adaptability in the hardware functionalities
of the robot, namely, a “flexible” design enabled by hardware components able to fulfill
multiple functionalities. In this paper this concept of flexible design is introduced along with
its main technological and theoretical basic elements. The potential of the approach is
demonstrated through a biological comparison and the feasibility is supported by practical
examples with state-of-the-art technologies
Evolution of Embodied Intelligence
We provide an overview of the evolutionary approach to the emergence of artificial intelligence in embodied behavioral agents. This approach, also known as Evolutionary Robotics, builds and capitalizes upon the interactions between the embodied agent and its environment. Although we cover research carried out in several laboratories around the world, the choice of topics and approaches is based on work carried out at EPFL. We describe a large number of experiments including evolution of single robots in environments of increasing complexity, competitive and cooperative evolution, evolution of vi-sion-based systems, evolution of learning, and evolution of electronics and morphologies for autonomous robot
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