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Notes on embodied agents
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When State Becomes an Attack Surface: State-Semantic Injection in LLM-Driven Embodied Agents
The text discusses the evolution of Large Language Models (LLMs) from text generation models to core components of agents that can perceive environments, invoke tools, and execute tasks. These LLM-driven embodied…
UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following
Researchers have introduced UESF-Bench, a new benchmark to evaluate the performance of AI agents in language-guided human following tasks. The current benchmarks assume that the target person is visible at the start of…
Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
Researchers introduce Cortex, a framework for long-horizon manipulation tasks that addresses the limitations of current Vision-Language-Action (VLA) models by creating executable and tractable subtask plans from…
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
Researchers have developed a new framework called OmniAct for building embodied agents that can operate in unstructured environments. This framework aims to address the challenges of managing both cyber and physical…
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
The researchers present a framework called OmniAct that aims to build persistent embodied agents for operation in unstructured environments. The framework integrates a multimodal semantic planner, an adaptive…
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
Researchers present OmniAct, a framework that aims to advance the development of persistent embodied agents in unstructured environments. The framework integrates a multimodal semantic planner for skill routing, an…
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