Výsledky vyhledávání - "Patel, Dipam"

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Multi-Robot Informative Path Planning for Efficient Target Mapping using Deep Reinforcement Learning

Autor: Vashisth, Apoorva, Patel, Dipam, Conover, Damon, Bera, Aniket

Autonomous robots are being employed in several mapping and data collection tasks due to their efficiency and low labor costs. In these tasks, the robots are required to map targets-of-interest in an unknown environment while constrained to a given r

Externí odkaz: http://arxiv.org/abs/2409.16967

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Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM

Autor: Pham, Phu, Patel, Dipam, Conover, Damon, Bera, Aniket

We introduce Go-SLAM, a novel framework that utilizes 3D Gaussian Splatting SLAM to reconstruct dynamic environments while embedding object-level information within the scene representations. This framework employs advanced object segmentation techni

Externí odkaz: http://arxiv.org/abs/2409.16944

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DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems

Autor: Patel, Dipam, Pham, Phu, Tiwari, Kshitij, Bera, Aniket

Resource-constrained robots often suffer from energy inefficiencies, underutilized computational abilities due to inadequate task allocation, and a lack of robustness in dynamic environments, all of which strongly affect their performance. This paper

Externí odkaz: http://arxiv.org/abs/2309.17433

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DroNeRF: Real-time Multi-agent Drone Pose Optimization for Computing Neural Radiance Fields

Autor: Patel, Dipam, Pham, Phu, Bera, Aniket

We present a novel optimization algorithm called DroNeRF for the autonomous positioning of monocular camera drones around an object for real-time 3D reconstruction using only a few images. Neural Radiance Fields or NeRF, is a novel view synthesis tec

Externí odkaz: http://arxiv.org/abs/2303.04322

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