10 accepted papers
Cable-driven robots face significant challenges in achieving precise motion control due to the inherent nonlinearity, strong coupling, and time-varying transmission dynamics. Traditional model-based methods require precise parameter identification and offline calibration, while existing data-driven
Efficient and safe navigation in cluttered environments remains a fundamental challenge for humanoid robots, particularly due to their complex dynamics and the need to process ego-centric visual observations under significant camera motion. Traditional modular navigation pipelines often suffer from
The facial expression generation capability of humanoid social robots is critical for achieving natural and human-like interactions, playing a vital role in enhancing the fluidity of human-robot interactions and the accuracy of emotional expression. Currently, facial expression generation in humanoi
This paper proposes FABG (Facial Affective Behavior Generation), an end-to-end imitation learning system for human-robot interaction, designed to generate natural and fluid facial affective behaviors. In interaction, effectively obtaining high-quality demonstrations remains a challenge. In this work
Weakly supervised referring expression grounding aims to train a model without the manual labels between image regions and referring expressions during the training phase. Current predominant models often adopt deep structures to reconstruct the region-expression correspondence. A crucial deficiency…
This article studies the tracking control of a quadrotor unmanned aerial vehicle (UAV) under time-varying external disturbances. An event-triggered sliding mode control (SMC) strategy is proposed by introducing a new triggering condition form of desired trajectory, quadrotor position, and velocity.…
The ability to adapt their perception to changing environments is a core characterization of intelligent robots. At present, Unsupervised Domain Adaptation (UDA) methods are used to address this problem where the adaptation task is formulated as a transfer problem from a well-described scenario (sou…
Currently, most table tennis robots concentrate on the canonical position control problem while ignoring the actual velocity control requirements. In this paper, we consider these requirements and propose a new table tennis robot framework. First, a tailor-made mechanical structure is designed such…
Domain adaptation methods are used to address a problem, in which train scenario (source domain) and test scenario (target domain) are different. The existing methods mainly perform adaptation via reducing domain discrepancy from the view of a probability distribution. However, the idea of probabili…
This paper presents a simple 2D passive dynamic walking model with straight legs based on a novel hip joint, called T-joint. The model directly solves the common foot-scuffing problem in straight-legged walkers without introducing any new degree of freedom or additional motion phase, which is unavoi…