Zobrazeno 1 - 10
of 50
pro vyhledávání: '"HENDRICH, NORMAN"'
Autor:
Zhou, Hantao, Ji, Tianying, Sommerhalder, Lukas, Goerner, Michael, Hendrich, Norman, Zhang, Jianwei, Sun, Fuchun, Xu, Huazhe
Minigolf is an exemplary real-world game for examining embodied intelligence, requiring challenging spatial and kinodynamic understanding to putt the ball. Additionally, reflective reasoning is required if the feasibility of a challenge is not ensure
Externí odkaz:
http://arxiv.org/abs/2406.10157
Accurate estimation of the relative pose between an object and a robot hand is critical for many manipulation tasks. However, most of the existing object-in-hand pose datasets use two-finger grippers and also assume that the object remains fixed in t
Externí odkaz:
http://arxiv.org/abs/2304.04523
Autor:
Tang, Song, Yang, Yan, Ma, Zhiyuan, Hendrich, Norman, Zeng, Fanyu, Ge, Shuzhi Sam, Zhang, Changshui, Zhang, Jianwei
In the classic setting of unsupervised domain adaptation (UDA), the labeled source data are available in the training phase. However, in many real-world scenarios, owing to some reasons such as privacy protection and information security, the source
Externí odkaz:
http://arxiv.org/abs/2107.12585
Autor:
Cong, Lin, Görner, Michael, Ruppel, Philipp, Liang, Hongzhuo, Hendrich, Norman, Zhang, Jianwei
Planar pushing remains a challenging research topic, where building the dynamic model of the interaction is the core issue. Even an accurate analytical dynamic model is inherently unstable because physics parameters such as inertia and friction can o
Externí odkaz:
http://arxiv.org/abs/2007.13421
Autor:
Li, Shuang, Jiang, Jiaxi, Ruppel, Philipp, Liang, Hongzhuo, Ma, Xiaojian, Hendrich, Norman, Sun, Fuchun, Zhang, Jianwei
In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking method. Transteleop observes the human hand through a low-cost depth cam
Externí odkaz:
http://arxiv.org/abs/2003.05212
Autor:
Liang, Hongzhuo, Zhou, Chuangchuang, Li, Shuang, Ma, Xiaojian, Hendrich, Norman, Gerkmann, Timo, Sun, Fuchun, Stoffel, Marcus, Zhang, Jianwei
Publikováno v:
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Robust and accurate estimation of liquid height lies as an essential part of pouring tasks for service robots. However, vision-based methods often fail in occluded conditions while audio-based methods cannot work well in a noisy environment. We inste
Externí odkaz:
http://arxiv.org/abs/2003.00342
Autor:
Liang, Hongzhuo, Li, Shuang, Ma, Xiaojian, Hendrich, Norman, Gerkmann, Timo, Sun, Fuchun, Zhang, Jianwei
Publikováno v:
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
In this paper, we focus on the challenging perception problem in robotic pouring. Most of the existing approaches either leverage visual or haptic information. However, these techniques may suffer from poor generalization performances on opaque conta
Externí odkaz:
http://arxiv.org/abs/1903.00650
Publikováno v:
In HardwareX October 2022 12
Publikováno v:
In Additive Manufacturing December 2020 36
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