Výsledky vyhledávání

Report

Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model

Autor: Ji, Yiming, Liu, Yang, Wang, Zhengpu, Ma, Boyu, Xie, Zongwu, Liu, Hong

The Object Goal Navigation (ObjectNav) task requires the agent to navigate to a specified target in an unseen environment. Since the environment layout is unknown, the agent needs to perform semantic reasoning to infer the potential location of the t

Externí odkaz: http://arxiv.org/abs/2410.21842

Zobrazit plný text záznamu

Report

NEDS-SLAM: A Neural Explicit Dense Semantic SLAM Framework using 3D Gaussian Splatting

Autor: Ji, Yiming, Liu, Yang, Xie, Guanghu, Ma, Boyu, Xie, Zongwu

We propose NEDS-SLAM, a dense semantic SLAM system based on 3D Gaussian representation, that enables robust 3D semantic mapping, accurate camera tracking, and high-quality rendering in real-time. In the system, we propose a Spatially Consistent Featu

Externí odkaz: http://arxiv.org/abs/2403.11679

Zobrazit plný text záznamu

Report

NNPP: A Learning-Based Heuristic Model for Accelerating Optimal Path Planning on Uneven Terrain

Autor: Ji, Yiming, Liu, Yang, Xie, Guanghu, Ma, Boyu, Xie, Zongwu, Cao, Baoshi

Intelligent autonomous path planning is essential for enhancing the exploration efficiency of mobile robots operating in uneven terrains like planetary surfaces and off-road environments.In this paper, we propose the NNPP model for computing the heur

Externí odkaz: http://arxiv.org/abs/2308.04792

Zobrazit plný text záznamu

Report

Prototype Design and Efficiency Analysis of a Novel Robot Drive Based on 3K-H-V Topology

Autor: Qi, Le, Yang, Dapeng, Cao, Baoshi, Li, Zhiqi, Gu, Yikun, Xie, Zongwu, Liu, Hong

Robot actuators directly affect the performance of robots, and robot drives directly affect the performance of robot actuators. With the development of robotics, robots have put higher requirements on robot drives, such as high stiffness, high accura

Externí odkaz: http://arxiv.org/abs/2210.02046

Zobrazit plný text záznamu