ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory
Recent VLM and VLA systems have improved robotic perception and action prediction, yet long-horizon embodied agents still require a general runtime layer for reasoning, memory, tool use, verification, and cross-embodiment execution. We present ABot-AgentOS, a general robotic Agent Operating System that sits above low-level controllers and provides a deliberative agent layer for scene-conditioned planning, context-isolated skill execution, multi-stage verification, multi-modal memory, and edge-cl
Record details
Published: 11 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Navigating the Crowd: Non-linear MPC with Social Forces Dynamics for Human-Aware Robot Navigation
arXiv cs.HC · 11 July 2026
IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation
arXiv · 11 July 2026
Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries
arXiv · 11 July 2026
ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm
arXiv · 11 July 2026
Towards Autonomous and Auditable Medical Imaging Model Development
HuggingFace Daily Papers · 11 July 2026
Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents
arXiv · 12 July 2026
How to cite this record
ethics.ai (11 July 2026), “ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory,” evidence record 1516, https://ethics.ai/record/1516 (originally published by HuggingFace Daily Papers).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.