ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents
Current embodied intelligent systems still face a substantial gap between high-level reasoning and low-level physical execution in open-world environments. Although Vision-Language-Action (VLA) models provide strong perception and intuitive responses, their open-loop nature limits long-horizon performance. Agents incorporating System 2 cognitive mechanisms improve planning, but usually operate in closed sandboxes with predefined toolkits and limited real-system control. OpenClaw provides a localized runtime with full system privileges, but lacks the embodied control architecture required for long-duration, multi-robot execution. We therefore propose ABot-Claw, an embodied extension of Ope...
| Authors | Dongjie Huo, Haoyun Liu, Guoqing Liu et al. |
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| Primary category | cs.CV |
| Published | 11 April 2026 |
| Last updated at source | 17 April 2026 |
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