4 citations · 5 across the 4 of their papers we have counts for
5 papers
Know When to Escalate: Critic-Guided Adaptive Execution for Cloud-Local Embodied Agents
Wei Zhang, Lirong Xiang, Charles Fleming
Recent advances in foundation-model agents have enabled increasingly capable embodied systems for long-horizon planning and interaction. However, embodied agents require fast, clos…
PlantShade: Predicting Plant Shadows for Lighting-Aware Robotic Agricultural Operation
Longchao Da, Xiaoou Liu, Xingjian Li +2
Plant growth and agricultural production form the foundation of a country's sustainable development and directly impact human livelihoods. Recent advances in frontier artificial in…
Fusing Perceptual Vision Experts with Multimodal LLMs for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation
Ranjan Sapkota, Konstantinos I. Roumeliotis, Pengyao Xie +3
Accurate field plant disease diagnosis requires reliable fusion of uncertain and conflicting perceptual evidence. We present the Hybrid Hierarchical Multi-Agent Framework (HM…
Photorealistic Robotic Simulation using Unreal Engine 5 for Agricultural Applications
Xingjian Li, Lirong Xiang
This work presents a new robotics simulation environment built upon Unreal Engine 5 (UE5) for agricultural image data generation. The simulation utilizes the state-of-the-art real-…
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
Xukun Liu, Zhiyuan Peng, Xiaoyuan Yi +4
While achieving remarkable progress in a broad range of tasks, large language models (LLMs) remain significantly limited in properly using massive external tools. Existing in-conte…