11 accepted papers
Using unmanned aerial vehicle (UAV) formations to guide unmanned ground vehicles (UGVs) through unstructured obstacle-laden areas leads to highly efficient execution of tasks such as the transportation of supplies. However, existing methods fail to efficiently plan obstacle-avoidance strategies for …
The actuator fault problems under saturation bring significant challenges to the stable and accurate tracking of wheeled mobile robots (WMRs) in industrial applications. This letter proposes a novel adaptive fault-tolerant control (FTC) method for WMR systems simultaneously considering uncertain mul
Local optima issues challenge mobile robots mapless navigation with the dilemma of avoiding collisions and approaching the target. Planning-based methods rely on environmental models and manual strategies to guide the robot. In contrast, learning-based methods can process original sensor data to nav
Recent advancements in text-to-image generation, notably the series of Stable Diffusion methods, have enabled the production of diverse, high-quality photo-realistic images. Nevertheless, these techniques still exhibit limitations in terms of knowledge access. Retrieval-augmented image generation is…
Personalization plays a critical role in numerous language tasks and applications, since users with the same requirements may prefer diverse outputs based on their interests. This has led to the development of various personalized approaches aimed at adapting large language models (LLMs) to generate…
Retrieval-augmented generation (RAG) has emerged as a key application of large language models (LLMs), especially in vertical domains where LLMs may lack domain-specific knowledge. This paper introduces OmniEval, an omnidirectional and automatic RAG benchmark for the financial domain, featured by it
The emergence of Large Language Models (LLMs) has unified language generation tasks and revolutionized human-machine interaction. However, in the realm of image generation, a unified model capable of handling various tasks within a single framework remains largely unexplored. In this work, we introd…
Retrieval-augmented generation (RAG) effectively addresses issues of static knowledge and hallucination in large language models. Existing studies mostly focus on question scenarios with clear user intents and concise answers. However, it is prevalent that users issue broad, open-ended queries with…
Using unmanned aerial vehicle (UAV) formations to guide unmanned ground vehicles (UGVs) through unstructured obstacle-laden areas leads to highly efficient execution of tasks such as the transportation of supplies. However, existing methods fail to efficiently plan obstacle-avoidance strategies for
Uncertain disturbances increase the difficulty of robust tracking control for wheeled mobile robots (WMRs) in industrial scenarios, especially when exhibiting abrupt changes. This letter proposes an adaptive abrupt disturbance-rejection sliding mode controller (SMC). To address the increased variabi
To ensure operational accuracy and flexibility in confined environments, the cable-driven hyper-redundant manipulator needs to take into account both compliance and stiffness. Although the cable-driven method enables the manipulator to have adjustable stiffness, the theoretical analyses and studies…