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of 11 287
pro vyhledávání: '"kumar, Vijay"'
The recent introduction of large language models (LLMs) has revolutionized the field of robotics by enabling contextual reasoning and intuitive human-robot interaction in domains as varied as manipulation, locomotion, and self-driving vehicles. When
Externí odkaz:
http://arxiv.org/abs/2410.13691
As robots become increasingly capable, users will want to describe high-level missions and have robots fill in the gaps. In many realistic settings, pre-built maps are difficult to obtain, so execution requires exploration and mapping that are necess
Externí odkaz:
http://arxiv.org/abs/2410.03035
Autor:
Lei, Jiuzhou, Prabhu, Ankit, Liu, Xu, Cladera, Fernando, Mortazavi, Mehrad, Ehsani, Reza, Chaudhari, Pratik, Kumar, Vijay
Automated persistent and fine-grained monitoring of orchards at the individual tree or fruit level helps maximize crop yield and optimize resources such as water, fertilizers, and pesticides while preventing agricultural waste. Towards this goal, we
Externí odkaz:
http://arxiv.org/abs/2409.19786
We propose a framework for active mapping and exploration that leverages Gaussian splatting for constructing information-rich maps. Further, we develop a parallelized motion planning algorithm that can exploit the Gaussian map for real-time navigatio
Externí odkaz:
http://arxiv.org/abs/2409.18122
Traditionally, unmanned aerial vehicles (UAVs) rely on CMOS-based cameras to collect images about the world below. One of the most successful applications of UAVs is to generate orthomosaics or orthomaps, in which a series of images are integrated to
Externí odkaz:
http://arxiv.org/abs/2409.18120
Coordinating the motion of multiple robots in cluttered environments remains a computationally challenging task. We study the problem of minimizing the execution time of a set of geometric paths by a team of robots with state-dependent actuation cons
Externí odkaz:
http://arxiv.org/abs/2409.17079
THz band enabled large scale massive MIMO (M-MIMO) is considered as a key enabler for the 6G technology, given its enormous bandwidth and for its low latency connectivity. In the large-scale M-MIMO configuration, enlarged array aperture and small wav
Externí odkaz:
http://arxiv.org/abs/2409.16420
Neural Radiance Fields (NeRFs) have shown significant promise in 3D scene reconstruction and novel view synthesis. In agricultural settings, NeRFs can serve as digital twins, providing critical information about fruit detection for yield estimation a
Externí odkaz:
http://arxiv.org/abs/2409.15487
Autor:
Wu, Yuwei, Tao, Yuezhan, Li, Peihan, Shi, Guangyao, Sukhatmem, Gaurav S., Kumar, Vijay, Zhou, Lifeng
In this paper, we propose a hierarchical Large Language Models (LLMs) in-the-loop optimization framework for real-time multi-robot task allocation and target tracking in an unknown hazardous environment subject to sensing and communication attacks. W
Externí odkaz:
http://arxiv.org/abs/2409.12274
Many practical applications of optimal control are subject to real-time computational constraints. When applying model predictive control (MPC) in these settings, respecting timing constraints is achieved by limiting the number of iterations of the o
Externí odkaz:
http://arxiv.org/abs/2409.11351