Zobrazeno 1 - 10
of 8 391
pro vyhledávání: '"Liang, Jing"'
Autor:
Weerakoon, Kasun, Elnoor, Mohamed, Seneviratne, Gershom, Rajagopal, Vignesh, Arul, Senthil Hariharan, Liang, Jing, Jaffar, Mohamed Khalid M, Manocha, Dinesh
We present BehAV, a novel approach for autonomous robot navigation in outdoor scenes guided by human instructions and leveraging Vision Language Models (VLMs). Our method interprets human commands using a Large Language Model (LLM) and categorizes th
Externí odkaz:
http://arxiv.org/abs/2409.16484
Autor:
Liang, Jing, Das, Dibyendu, Song, Daeun, Shuvo, Md Nahid Hasan, Durrani, Mohammad, Taranath, Karthik, Penskiy, Ivan, Manocha, Dinesh, Xiao, Xuesu
Navigating large-scale outdoor environments requires complex reasoning in terms of geometric structures, environmental semantics, and terrain characteristics, which are typically captured by onboard sensors such as LiDAR and cameras. While current mo
Externí odkaz:
http://arxiv.org/abs/2409.14262
We present a multi-modal trajectory generation and selection algorithm for real-world mapless outdoor navigation in challenging scenarios with unstructured off-road features like buildings, grass, and curbs. Our goal is to compute suitable trajectori
Externí odkaz:
http://arxiv.org/abs/2408.02454
Autor:
Liang, Jing, Deng, Zhuo, Zhou, Zheming, Sun, Min, Ghasemalizadeh, Omid, Kuo, Cheng-Hao, Sen, Arnie, Manocha, Dinesh
We present a new algorithm, Cross-Source-Context Place Recognition (CSCPR), for RGB-D indoor place recognition that integrates global retrieval and reranking into a single end-to-end model. Unlike prior approaches that primarily focus on the RGB doma
Externí odkaz:
http://arxiv.org/abs/2407.17457
In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions that exhibit desirable convergence and diversity. Although several multi
Externí odkaz:
http://arxiv.org/abs/2407.06536
Electroencephalography (EEG), a medical imaging technique that captures scalp electrical activity of brain structures via electrodes, has been widely used in affective computing. The spatial domain of EEG is rich in affective information. However, fe
Externí odkaz:
http://arxiv.org/abs/2407.03131
In trajectory forecasting tasks for traffic, future output trajectories can be computed by advancing the ego vehicle's state with predicted actions according to a kinematics model. By unrolling predicted trajectories via time integration and models o
Externí odkaz:
http://arxiv.org/abs/2406.01431
With the advent of foundation models like ChatGPT, educators are excited about the transformative role that AI might play in propelling the next education revolution. The developing speed and the profound impact of foundation models in various indust
Externí odkaz:
http://arxiv.org/abs/2405.10959
Autor:
Liang, Jing, Deng, Zhuo, Zhou, Zheming, Ghasemalizadeh, Omid, Manocha, Dinesh, Sun, Min, Kuo, Cheng-Hao, Sen, Arnie
We present a novel end-to-end algorithm (PoCo) for the indoor RGB-D place recognition task, aimed at identifying the most likely match for a given query frame within a reference database. The task presents inherent challenges attributed to the constr
Externí odkaz:
http://arxiv.org/abs/2404.02885
We propose VLM-Social-Nav, a novel Vision-Language Model (VLM) based navigation approach to compute a robot's motion in human-centered environments. Our goal is to make real-time decisions on robot actions that are socially compliant with human expec
Externí odkaz:
http://arxiv.org/abs/2404.00210