Self-supervised cost of transport estimation for multimodal path planning

Kavli Affiliate: Morteza Gharib | First 5 Authors: Vincent Gherold, Ioannis Mandralis, Eric Sihite, Adarsh Salagame, Alireza Ramezani | Summary: Autonomous robots operating in real environments are often faced with decisions on how best to navigate their surroundings. In this work, we address a particular instance of this problem: how can a robot autonomously decide […]


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Uniting the Observed Dynamical Dark Energy Preference with the Discrepancies in $Ω_m$ and $H_0$ Across Cosmological Probes

Kavli Affiliate: Chihway Chang | First 5 Authors: Xianzhe TZ Tang, Dillon Brout, Tanvi Karwal, Chihway Chang, Vivian Miranda | Summary: Recent results from Type Ia Supernovae (SNe), baryon acoustic oscillations (BAO), and the cosmic microwave background (CMB) indicate 1) potentially discrepant measurements of the matter density $Omega_m$ and Hubble constant $ H_0 $ in […]


Continue.. Uniting the Observed Dynamical Dark Energy Preference with the Discrepancies in $Ω_m$ and $H_0$ Across Cosmological Probes

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Kavli Affiliate: Wei Gao | First 5 Authors: Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao, | Summary: Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency […]


Continue.. PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Kavli Affiliate: Wei Gao | First 5 Authors: Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao, | Summary: Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency […]


Continue.. PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Enhanced Capture Point Control Using Thruster Dynamics and QP-Based Optimization for Harpy

Kavli Affiliate: Morteza Gharib | First 5 Authors: Shreyansh Pitroda, Eric Sihite, Taoran Liu, Kaushik Venkatesh Krishnamurthy, Chenghao Wang | Summary: Our work aims to make significant strides in understanding unexplored locomotion control paradigms based on the integration of posture manipulation and thrust vectoring. These techniques are commonly seen in nature, such as Chukar birds […]


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Galaxy Clustering with LSST: Effects of Number Count Bias from Blending

Kavli Affiliate: Chihway Chang | First 5 Authors: Benjamin Levine, Javier Sánchez, Chihway Chang, Anja von der Linden, Eboni Collins | Summary: The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will survey the southern sky to create the largest galaxy catalog to date, and its statistical power demands an improved understanding […]


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Optimization free control and ground force estimation with momentum observer for a multimodal legged aerial robot

Kavli Affiliate: Morteza Gharib | First 5 Authors: Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Shreyansh Pitroda, Eric Sihite, Alireza Ramezani | Summary: Legged-aerial multimodal robots can make the most of both legged and aerial systems. In this paper, we propose a control framework that bypasses heavy onboard computers by using an optimization-free Explicit Reference Governor that […]


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Modeling Extensive Defects in Metals through Classical Potential-Guided Sampling and Automated Configuration Reconstruction

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Kai Liu, Yucheng Ji, Wei Gao, Luca Laurenti | Summary: Extended defects such as dislocation networks and general grain boundaries are ubiquitous in metals, and accurately modeling these extensive defects is crucial for understanding their deformation mechanisms. Existing machine learning interatomic potentials (MLIPs) often fall […]


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