Zobrazeno 1 - 10
of 830
pro vyhledávání: '"Dames, P"'
Predictive synthesis of aqueous organic solutions with desired liquid-solid phase equilibria could drive progress in industrial chemistry, cryopreservation, and beyond, but is limited by the predictive power of current solution thermodynamics models.
Externí odkaz:
http://arxiv.org/abs/2411.17968
Solid-state batteries (SSBs) are promising next-generation batteries due to their high energy density and enhanced thermal stability and safety. However, their sluggish kinetics and transport at room temperature results in high internal impedance and
Externí odkaz:
http://arxiv.org/abs/2411.09885
Autor:
Xie, Zhanteng, Dames, Philip
This paper presents a 2D lidar semantic segmentation dataset to enhance the semantic scene understanding for mobile robots in different indoor robotics applications. While most existing lidar semantic datasets focus on 3D lidar sensors and autonomous
Externí odkaz:
http://arxiv.org/abs/2409.09899
Autor:
Srivastava, Alkesh K., Dames, Philip
In social robotics, a pivotal focus is enabling robots to engage with humans in a more natural and seamless manner. The emergence of advanced large language models (LLMs) such as Generative Pre-trained Transformers (GPTs) and autoregressive models li
Externí odkaz:
http://arxiv.org/abs/2407.09890
Autor:
Xie, Zhanteng, Dames, Philip
This article presents a family of Stochastic Cartographic Occupancy Prediction Engines (SCOPEs) that enable mobile robots to predict the future states of complex dynamic environments. They do this by accounting for the motion of the robot itself, the
Externí odkaz:
http://arxiv.org/abs/2407.00144
The increased deployment of multi-robot systems (MRS) in various fields has led to the need for analysis of system-level performance. However, creating consistent metrics for MRS is challenging due to the wide range of system and environmental factor
Externí odkaz:
http://arxiv.org/abs/2405.01771
Autor:
Chen, Timothy, Shorinwa, Ola, Bruno, Joseph, Yu, Javier, Zeng, Weijia, Nagami, Keiko, Dames, Philip, Schwager, Mac
We present Splat-Nav, a real-time navigation pipeline designed to work with environment representations generated by Gaussian Splatting (GSplat), a popular emerging 3D scene representation from computer vision. Splat-Nav consists of two components: 1
Externí odkaz:
http://arxiv.org/abs/2403.02751
This paper presents a cooperative multi-robot multi-target tracking framework aimed at enhancing the efficiency of the heterogeneous sensor network and, consequently, improving overall target tracking accuracy. The concept of normalized unused sensin
Externí odkaz:
http://arxiv.org/abs/2311.01707
It is well established that near-field radiative heat transfer (NFRHT) can exceed Planck's blackbody limit1 by orders of magnitude owing to the tunneling of evanescent electromagnetic frustrated and surface modes2-4, as has been demonstrated experime
Externí odkaz:
http://arxiv.org/abs/2310.20356
Autor:
Tang, Lei, Dames, Chris
The thermal conductivity (k) of polycrystalline silicon carbide thin films is relevant for thermal management in emerging silicon carbide applications like MEMS and optoelectronic devices. In such films k can be substantially reduced by microstructur
Externí odkaz:
http://arxiv.org/abs/2306.04960