We present an embodied AI system which receives open-ended natural language instructions from a human, and controls two arms to collaboratively accomplish potentially long-horizon tasks over a large workspace. Our system is modular: it deploys state of the art Large Language Models for task plannin...
The robot also integrates large-scale artificial intelligence (AI) models, enabling remote and local control, as well as autonomous operation. It is equipped with an electric drive system offering a battery life of over six hours.GAC Group's second-generation embodied intelligent robot; photo ...
In: Proceedings of the AISB Convention 2015 Coeckelbergh M (2010) Moral appearances: emotions, robots, and human morality. Ethics Inf Technol 12(3):235–241 Article Google Scholar Coeckelbergh M (2020) Moral appearances: emotions, robots, and human morality. In: Machine Ethics and Robot ...
The field of AI, which seeks to reproduce and augment biological intelligence, has focused primarily on disembodied learning methods. In contrast, embodied cognition3,4,5 posits that morphologies adapted to a particular environment could greatly simplify the problem of learning intelligent behaviors3,4...
Avian feather intricate adaptable architecture to wing deformations has catalyzed interest in feathered flapping-wing aircraft with high maneuverability, agility, and stealth. Yet, to mimic avian integrated somatic sensation within stringent weight const
the scaling of computation and models that has been so successful in other fields of AI6,25,26,27and bring it bear on the field of evolutionary robotics. Fig. 1: DERL overview. aDERL is a general framework to make embodied agents via two interacting adaptive processes. An outer loop of...
Foundation Models for Embodied AI Affordance Correspondence Tracking & Estimation Generative Models Reinforcement Learning Motion Generation Robot Hardware Dataset & Benchmark Diffusion Model for Planning, Policy, and RL 3D-based Manipulation 2D-based Manipulation ...
technology, it should be acknowledged that AI represents an advanced form of technology (Wu, Liu, & Zeng, 2024; Saeed & Derakhshan, 2024). Drawing on the aforementioned findings, it is reasonable to postulate that AI self-efficacy may similarly shape attitude toward AI in the L2 learning ...
Robotic behavior synthesis, the problem of understanding multimodal inputs and generating precise physical control for robots, is an important part of Embodied AI. Despite successes in applying multimodal large language models for high-level understanding, it remains challenging to translate these conceptua...
我们使用一个称为机器人定律的方式向机器人指定这一点,它是一份LLM被指示遵循的规则清单,灵感来自于诸如Constitutional AI(Bai等人,2022)的方法。这些规则分为三类: • Foundational rules inspired by Asimov’s three laws (Asimov, 1942) that govern robotics in general and govern interactions with humans. ...