Zobrazeno 1 - 10
of 991
pro vyhledávání: '"LI Mingxuan"'
AI holds promise for transforming scientific processes, including hypothesis generation. Prior work on hypothesis generation can be broadly categorized into theory-driven and data-driven approaches. While both have proven effective in generating nove
Externí odkaz:
http://arxiv.org/abs/2410.17309
Autor:
Li, Mingxuan, Zhou, Kai
Facial recognition using deep learning has been widely used in social life for applications such as authentication, smart door locks, and photo grouping, etc. More and more networks have been developed to facilitate computer vision tasks, such as Res
Externí odkaz:
http://arxiv.org/abs/2410.02305
Humans can steadily and gently grasp unfamiliar objects based on tactile perception. Robots still face challenges in achieving similar performance due to the difficulty of learning accurate grasp-force predictions and force control strategies that ca
Externí odkaz:
http://arxiv.org/abs/2409.10371
Autor:
Wang, Jiahao, Li, Mingxuan, Luo, Haichen, Zhu, Jinguo, Yang, Aijun, Rong, Mingzhe, Wang, Xiaohua
The inspection of power transmission line has achieved notable achievements in the past few years, primarily due to the integration of deep learning technology. However, current inspection approaches continue to encounter difficulties in generalizati
Externí odkaz:
http://arxiv.org/abs/2407.19178
For elastomer-based tactile sensors, represented by visuotactile sensors, routine calibration of mechanical parameters (Young's modulus and Poisson's ratio) has been shown to be important for force reconstruction. However, the reliance on existing in
Externí odkaz:
http://arxiv.org/abs/2403.10256
Autor:
Cong, Rongqing, He, Wenyang, Li, Mingxuan, Luo, Bangning, Yang, Zebin, Yang, Yuchao, Huang, Ru, Yan, Bonan
Large language models (LLMs) with Transformer architectures have become phenomenal in natural language processing, multimodal generative artificial intelligence, and agent-oriented artificial intelligence. The self-attention module is the most domina
Externí odkaz:
http://arxiv.org/abs/2401.11459
Nanophotonic structures have versatile applications including solar cells, anti-reflective coatings, electromagnetic interference shielding, optical filters, and light emitting diodes. To design and understand these nanophotonic structures, electrody
Externí odkaz:
http://arxiv.org/abs/2310.19053
In typical in-hand manipulation tasks represented by object pivoting, the real-time perception of rotational slippage has been proven beneficial for improving the dexterity and stability of robotic hands. An effective strategy is to obtain the contac
Externí odkaz:
http://arxiv.org/abs/2309.05366
Publikováno v:
Measurement, 113479 (2023)
Visuotactile sensing technology has received much attention in recent years. This article proposes a feature detection method applicable to visuotactile sensors based on continuous marker patterns (CMP) to measure 3-d deformation. First, we construct
Externí odkaz:
http://arxiv.org/abs/2305.11782
Publikováno v:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining(KDD '20), August 23--27, 2020, Virtual Event, CA, USA. Pages 15-24
While having achieved great success in rich real-life applications, deep neural network (DNN) models have long been criticized for their vulnerability to adversarial attacks. Tremendous research efforts have been dedicated to mitigating the threats o
Externí odkaz:
http://arxiv.org/abs/2304.06919