Zobrazeno 1 - 10
of 7 264
pro vyhledávání: '"An, Yuke"'
Autor:
Jiang, Zhenyu, Xie, Yuqi, Lin, Kevin, Xu, Zhenjia, Wan, Weikang, Mandlekar, Ajay, Fan, Linxi, Zhu, Yuke
Imitation learning from human demonstrations is an effective means to teach robots manipulation skills. But data acquisition is a major bottleneck in applying this paradigm more broadly, due to the amount of cost and human effort involved. There has
Externí odkaz:
http://arxiv.org/abs/2410.24185
Recent advancements in large-scale multi-task robot learning offer the potential for deploying robot fleets in household and industrial settings, enabling them to perform diverse tasks across various environments. However, AI-enabled robots often fac
Externí odkaz:
http://arxiv.org/abs/2410.22689
Autor:
Qin, Zezheng, Sun, Congcong, He, Taiyi, He, Yuke, Abdullah, Azizol, Samian, Normalia, Roslan, Nuur Alifah
In the context of widespread global information sharing, information security and privacy protection have become focal points. Steganographic systems enhance information security by embedding confidential information into public carriers; however, ex
Externí odkaz:
http://arxiv.org/abs/2410.20825
Autor:
Wang, Zhendong, Li, Zhaoshuo, Mandlekar, Ajay, Xu, Zhenjia, Fan, Jiaojiao, Narang, Yashraj, Fan, Linxi, Zhu, Yuke, Balaji, Yogesh, Zhou, Mingyuan, Liu, Ming-Yu, Zeng, Yu
Diffusion models, praised for their success in generative tasks, are increasingly being applied to robotics, demonstrating exceptional performance in behavior cloning. However, their slow generation process stemming from iterative denoising steps pos
Externí odkaz:
http://arxiv.org/abs/2410.21257
Autor:
He, Tairan, Xiao, Wenli, Lin, Toru, Luo, Zhengyi, Xu, Zhenjia, Jiang, Zhenyu, Kautz, Jan, Liu, Changliu, Shi, Guanya, Wang, Xiaolong, Fan, Linxi, Zhu, Yuke
Humanoid whole-body control requires adapting to diverse tasks such as navigation, loco-manipulation, and tabletop manipulation, each demanding a different mode of control. For example, navigation relies on root velocity tracking, while tabletop mani
Externí odkaz:
http://arxiv.org/abs/2410.21229
Humanoid robots, with their human-like embodiment, have the potential to integrate seamlessly into human environments. Critical to their coexistence and cooperation with humans is the ability to understand natural language communications and exhibit
Externí odkaz:
http://arxiv.org/abs/2410.12773
Autor:
Li, Jinhan, Zhu, Yifeng, Xie, Yuqi, Jiang, Zhenyu, Seo, Mingyo, Pavlakos, Georgios, Zhu, Yuke
We study the problem of teaching humanoid robots manipulation skills by imitating from single video demonstrations. We introduce OKAMI, a method that generates a manipulation plan from a single RGB-D video and derives a policy for execution. At the h
Externí odkaz:
http://arxiv.org/abs/2410.11792
Most existing studies on few-shot learning focus on unimodal settings, where models are trained to generalize on unseen data using only a small number of labeled examples from the same modality. However, real-world data are inherently multi-modal, an
Externí odkaz:
http://arxiv.org/abs/2410.10663
Symmetry plays a fundamental role in quantum many-body physics, and a central concept is spontaneous symmetry breaking, which imposes crucial constraints on the possible quantum phases and their transitions. Recent developments have extended the disc
Externí odkaz:
http://arxiv.org/abs/2410.09327
To operate at a building scale, service robots must perform very long-horizon mobile manipulation tasks by navigating to different rooms, accessing different floors, and interacting with a wide and unseen range of everyday objects. We refer to these
Externí odkaz:
http://arxiv.org/abs/2410.06237