It is suggested that the benefit of the agentic framework lies primarily in interaction quality rather than conversational efficiency, and the agentic architecture displayed robustness by recovering from non-normative inputs while maintaining strict goal alignment.
The World-Cognition Model is presented, a human-centered embodied agent built on the SLAK architecture (Sensing, Logic, Action, and Knowledge) and an asynchronous runtime and introduces a human-in-the-loop teaching mode that enables users to interactively teach the robot difficult or long-horizon tasks.
Ubiquitous robotic systems often lack traditional visual interfaces, necessitating resilient natural language interaction for maintenance and repair tasks. This paper presents a goal oriented agentic AI architecture designed to enable non-expert users to perform technical repairs through situated dialogue. The framewor...
The Embodied Task Agent is introduced, a new paradigm for extending digital agents into the physical world, and OpenETA is released as its open-source implementation, which provides replaceable Planners, composable Tools and Skills, auditable memory, replayable trajectories, and common interfaces for simulation and rea...
Yi-Tong Chen, Zezheng Huai, Si-Xian Li et al.· 5 citations· ⚡1
AgentForge is presented, an immersive learning system in which novices take on one of four software-engineering roles: Task Planner, Patch Author, Code Reviewer, or Test Runner, within a multi-agent code-repair workflow, which clarifies role-specific responsibilities, makes agent coordination and intermediate artifacts...
Recent advances in Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), are driving robotic architectures toward agent-based high-level orchestration, in which natural-language instructions can be translated into context-aware action sequences. While the integration of these agents and...
Jesús Moncada-Ramírez, Jose-Raul Ruiz-Sarmiento, J. González-Jiménez· 0 citations
Ludi is presented, an agentic system for socially intelligent robots that integrates interactive speech, multimodal reasoning, memory, navigation, and learned manipulation, and demonstrates a practical path toward fluid human-robot collaboration today while producing the multimodal interaction traces needed to develop...
Wooseong Chung, William Cong, Jakub Dworakowski et al.· 0 citations
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