A dual-layer memory and progress-aware VLA system for long-horizon chemical lab automation reports higher success rates than monolithic VLA baselines on a UR3 robot.
Solvingroboticsproblemsinzero-shotwithvision- language models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
The paper proposes a bidirectional continuum between LLMs and control systems, covering LLM-assisted controller design, control-based LLM steering, and state-space modeling of LLMs.
citing papers explorer
-
Long-Term Memory for VLA-based Agents in Open-World Task Execution
A dual-layer memory and progress-aware VLA system for long-horizon chemical lab automation reports higher success rates than monolithic VLA baselines on a UR3 robot.
-
When control meets large language models: From words to dynamics
The paper proposes a bidirectional continuum between LLMs and control systems, covering LLM-assisted controller design, control-based LLM steering, and state-space modeling of LLMs.