6 accepted papers
Predicting the kinematics of bending pneumatic muscles (BPMs) remains challenging due to the necessity for models that effectively address the pronounced hysteresis and creep inherent in soft materials. While prior research has predominantly focused on phenomenological and data-driven modeling appro…
Predicting the kinematics of bending pneumatic muscles (BPMs) remains challenging due to the necessity for models that effectively address the pronounced hysteresis and creep inherent in soft materials. While prior research has predominantly focused on phenomenological and data-driven modeling appro
Unsupervised Domain Adaptation (UDA) of the Aspect-based Sentiment Analysis (ABSA) task aims to transfer knowledge learned from labeled source domain datasets to unlabeled target domains on the assumption that samples from the source domain are freely accessible during the training period. However,…
Based on the assumption that samples in the source and target domains are freely accessible during training, unsupervised domain adaptation (UDA) of question answering (QA) aims to transfer knowledge learned from labeled source datasets to similar tasks in the unlabeled target domains. However, such…
A major challenge for ridesharing platforms is to guarantee profit and fairness simultaneously, especially in the presence of misaligned incentives of drivers and riders. We focus on the dispatching-pricing problem to maximize the total revenue while keeping both drivers and riders satisfied. We st…
We present a practical backend for stereo visual SLAM which can simultaneously discover individual rigid bodies and compute their motions in dynamic environments. While recent factor graph based state optimization algorithms have shown their ability to robustly solve SLAM problems by treating dynami…