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of 9
pro vyhledávání: '"Sen, Arnie"'
Autor:
Arul, Senthil Hariharan, Kumar, Dhruva, Sugirtharaj, Vivek, Kim, Richard, Xuewei, Qi, Madhivanan, Rajasimman, Sen, Arnie, Manocha, Dinesh
We present VLPG-Nav, a visual language navigation method for guiding robots to specified objects within household scenes. Unlike existing methods primarily focused on navigating the robot toward objects, our approach considers the additional challeng
Externí odkaz:
http://arxiv.org/abs/2408.08301
Autor:
Zhang, Ray, Zhou, Zheming, Sun, Min, Ghasemalizadeh, Omid, Kuo, Cheng-Hao, Eustice, Ryan, Ghaffari, Maani, Sen, Arnie
This paper introduces a robust unsupervised SE(3) point cloud registration method that operates without requiring point correspondences. The method frames point clouds as functions in a reproducing kernel Hilbert space (RKHS), leveraging SE(3)-equiva
Externí odkaz:
http://arxiv.org/abs/2407.20223
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
Autor:
Guan, Tianrui, Yang, Yurou, Cheng, Harry, Lin, Muyuan, Kim, Richard, Madhivanan, Rajasimman, Sen, Arnie, Manocha, Dinesh
In this paper, we present LOC-ZSON, a novel Language-driven Object-Centric image representation for object navigation task within complex scenes. We propose an object-centric image representation and corresponding losses for visual-language model (VL
Externí odkaz:
http://arxiv.org/abs/2405.05363
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
Autor:
Chen, Xiaotong, Zhou, Zheming, Deng, Zhuo, Ghasemalizadeh, Omid, Sun, Min, Kuo, Cheng-Hao, Sen, Arnie
Reconstructing transparent objects using affordable RGB-D cameras is a persistent challenge in robotic perception due to inconsistent appearances across views in the RGB domain and inaccurate depth readings in each single-view. We introduce a two-sta
Externí odkaz:
http://arxiv.org/abs/2310.09956
Autor:
Ding, Wenhao, Majcherczyk, Nathalie, Deshpande, Mohit, Qi, Xuewei, Zhao, Ding, Madhivanan, Rajasimman, Sen, Arnie
Active perception describes a broad class of techniques that couple planning and perception systems to move the robot in a way to give the robot more information about the environment. In most robotic systems, perception is typically independent of m
Externí odkaz:
http://arxiv.org/abs/2301.09544
Autor:
Örnek, Evin Pınar, Krishnan, Aravindhan K, Gayaka, Shreekant, Kuo, Cheng-Hao, Sen, Arnie, Navab, Nassir, Tombari, Federico
Object instance segmentation is a key challenge for indoor robots navigating cluttered environments with many small objects. Limitations in 3D sensing capabilities often make it difficult to detect every possible object. While deep learning approache
Externí odkaz:
http://arxiv.org/abs/2212.11922
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