Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Zhang, Jiyao"'
Recently, the concept of embodied intelligence has been widely accepted and popularized, leading people to naturally consider the potential for commercialization in this field. In this work, we propose a specific commercial scenario simulation, human
Externí odkaz:
http://arxiv.org/abs/2406.17898
Autor:
Zhang, Jiyao, Huang, Weiyao, Peng, Bo, Wu, Mingdong, Hu, Fei, Chen, Zijian, Zhao, Bo, Dong, Hao
6D Object Pose Estimation is a crucial yet challenging task in computer vision, suffering from a significant lack of large-scale datasets. This scarcity impedes comprehensive evaluation of model performance, limiting research advancements. Furthermor
Externí odkaz:
http://arxiv.org/abs/2406.04316
Estimating robot pose and joint angles is significant in advanced robotics, enabling applications like robot collaboration and online hand-eye calibration.However, the introduction of unknown joint angles makes prediction more complex than simple rob
Externí odkaz:
http://arxiv.org/abs/2403.18259
Unfamiliar measurements usually hinder readers from grasping the scale of the numerical data, understanding the content, and feeling engaged with the context. To enhance data comprehension and communication, we leverage analogies to bridge the gap be
Externí odkaz:
http://arxiv.org/abs/2401.17856
Object rearrangement, a fundamental challenge in robotics, demands versatile strategies to handle diverse objects, configurations, and functional needs. To achieve this, the AI robot needs to learn functional rearrangement priors in order to specify
Externí odkaz:
http://arxiv.org/abs/2312.01474
Robotic research encounters a significant hurdle when it comes to the intricate task of grasping objects that come in various shapes, materials, and textures. Unlike many prior investigations that heavily leaned on specialized point-cloud cameras or
Externí odkaz:
http://arxiv.org/abs/2311.16592
The use of anthropomorphic robotic hands for assisting individuals in situations where human hands may be unavailable or unsuitable has gained significant importance. In this paper, we propose a novel task called human-assisting dexterous grasping th
Externí odkaz:
http://arxiv.org/abs/2309.06038
In this work, we tackle the problem of online camera-to-robot pose estimation from single-view successive frames of an image sequence, a crucial task for robots to interact with the world.
Externí odkaz:
http://arxiv.org/abs/2307.12106
Object pose estimation plays a vital role in embodied AI and computer vision, enabling intelligent agents to comprehend and interact with their surroundings. Despite the practicality of category-level pose estimation, current approaches encounter cha
Externí odkaz:
http://arxiv.org/abs/2306.10531
Commercial depth sensors usually generate noisy and missing depths, especially on specular and transparent objects, which poses critical issues to downstream depth or point cloud-based tasks. To mitigate this problem, we propose a powerful RGBD fusio
Externí odkaz:
http://arxiv.org/abs/2208.03792