High-Precision Transformer-Based Visual Servoing for Humanoid Robots in Aligning Tiny Objects

Kavli Affiliate: Wei Gao | First 5 Authors: Jialong Xue, Wei Gao, Yu Wang, Chao Ji, Dongdong Zhao | Summary: High-precision tiny object alignment remains a common and critical challenge for humanoid robots in real-world. To address this problem, this paper proposes a vision-based framework for precisely estimating and controlling the relative position between a […]


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ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition

Kavli Affiliate: Morteza Gharib | First 5 Authors: Ioannis Mandralis, Reza Nemovi, Alireza Ramezani, Richard M. Murray, Morteza Gharib | Summary: Designing ground-aerial robots is challenging due to the increased actuation requirements which can lead to added weight and reduced locomotion efficiency. Morphobots mitigate this by combining actuators into multi-functional groups and leveraging ground transformation […]


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Controllable Interlocking from Irregularity in Two-Phase Composites

Kavli Affiliate: Chiara Daraio | First 5 Authors: Chelsea Fox, Kyrillos Bastawros, Tommaso Magrini, Chiara Daraio, | Summary: Natural materials often feature a combination of soft and stiff phases, arranged to achieve excellent mechanical properties, such as high strength and toughness. Many natural materials have even independently evolved to have similar structures to obtain these […]


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Spiral resonator referenced on-chip low noise microwave generation

Kavli Affiliate: Kerry Vahala | First 5 Authors: Long Cheng, Mengdi Zhao, Yang He, Yu Zhang, Roy Meade | Summary: In recent years, miniaturization and integration of photonic microwave oscillators by optical frequency division approach have witnessed rapid progress. In this work, we report on-chip low phase noise photonic microwave generation based on a planar […]


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Estimation of Treatment Effects based on Kernel Matching

Kavli Affiliate: Wei Gao | First 5 Authors: Chong Ding, Zheng Li, Hon Keung Tony Ng, Wei Gao, | Summary: The treatment effect represents the average causal impact or outcome difference between treatment and control groups. Treatment effects can be estimated through social experiments, regression models, matching estimators, and instrumental variables. In this paper, we […]


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LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information

Kavli Affiliate: Wei Gao | First 5 Authors: Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin, | Summary: The proliferation of misinformation, such as rumors on social media, has drawn significant attention, prompting various expressions of stance among users. Although rumor detection and stance detection are distinct tasks, they can complement each other. Rumors can […]


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High-Temperature Strong Nonreciprocal Thermal Radiation from Semiconductors

Kavli Affiliate: Harry Atwater | First 5 Authors: Bardia Nabavi, Sina Jafari Ghalehkohne, Komron J. Shayegan, Eric J. Tervo, Harry Atwater | Summary: Nonreciprocal thermal emitters that break the conventional Kirchhoff’s law allow independent control of emissivity and absorptivity and promise exciting new functionalities in controlling heat flow for thermal and energy applications. In enabling […]


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Content-Rich AIGC Video Quality Assessment via Intricate Text Alignment and Motion-Aware Consistency

Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Xiaoyu Liang, Bowen Qu, Wei Gao, | Summary: The advent of next-generation video generation models like textit{Sora} poses challenges for AI-generated content (AIGC) video quality assessment (VQA). These models substantially mitigate flickering artifacts prevalent in prior models, enable longer and complex text prompts and generate […]


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Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey | Summary: Recent advances in machine learning, combined with the generation of extensive density functional theory (DFT) datasets, have enabled the development of universal machine learning interatomic potentials (uMLIPs). These models offer broad applicability across the periodic […]


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Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models

Kavli Affiliate: Wei Gao | First 5 Authors: Prasanta Bhattacharya, Hong Zhang, Yiming Cao, Wei Gao, Brandon Siyuan Loh | Summary: Stance detection has emerged as a popular task in natural language processing research, enabled largely by the abundance of target-specific social media data. While there has been considerable research on the development of stance […]


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