5 accepted papers
This article proposes a whole-body impedance coordinative control framework for a wheel-legged humanoid robot to achieve adaptability on complex terrains while maintaining the robot's upper body stability. The framework contains a bi-level control strategy. The outer level is a variable-damping impe
Next location prediction plays a crucial role in various real-world applications. Recently, due to the limitation of existing deep learning methods, attempts have been made to apply large language models (LLMs) to zero-shot next location prediction task. However, they directly generate the final out…
Temporal knowledge graph (TKG) reasoning has become a hot topic due to its great value in many practical tasks. The key to TKG reasoning is modeling the structural information and evolutional patterns of the TKGs. While great efforts have been devoted to TKG reasoning, the structural and evolutional…
Trajectory modeling, which includes research on trajectory data pattern mining and future prediction, has widespread applications in areas such as life services, urban transportation, and public administration. Numerous methods have been proposed to address specific problems within trajectory modeli…
In this letter, a multi-modal learning and control framework is proposed for the control of a supernumerary robotic limb (SRL). The SRL is a wearable robotic arm designed to enhance the manipulation capabilities of its human user and extend the workspace by reaching greater heights. The multi-modal