4 accepted papers
Large Language Models (LLMs) have revolutionized intelligent interactions, enabling mobile applications such as personal assistants on edge devices for local execution. Speculative decoding (SD) has emerged as a promising paradigm to accelerate LLM inference without compromising generation quality,
This letter addresses critical challenges in the dynamic modeling of biomimetic underwater robots, including heavy reliance on prior knowledge and difficulties in tracking time-varying models. To tackle these issues, we propose a control-oriented online identification framework based on the Koopman
Compared to the limitations of relying solely on a global magnetic field response, utilizing local magnetic fields enables the independent control of multiple microrobots, regardless of variations in their size and orientation. In this letter, we develop a dual-layer orthogonal local magnetic field
In order to increase the feasibility of using microrobots to perform microscale tasks and widen the range of potential applications, the use of autonomous control algorithms such as obstacle avoidance is essential. In this study, aiming at the requirement of microrobots for automatic obstacle avoida