Zobrazeno 1 - 10
of 5 038
pro vyhledávání: '"Zhang, Hongbo"'
Autor:
Yin, Qingyu, Leong, Chak Tou, Zhang, Hongbo, Zhu, Minjun, Yan, Hanqi, Zhang, Qiang, He, Yulan, Li, Wenjie, Wang, Jun, Zhang, Yue, Yang, Linyi
The alignment of large language models (LLMs) with human preferences remains a key challenge. While post-training techniques like Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO) have achieved notable success
Externí odkaz:
http://arxiv.org/abs/2411.07618
Autor:
Yue, Linzhu, Song, Zhitao, Dong, Jinhu, Li, Zhongyu, Zhang, Hongbo, Zhang, Lingwei, Zeng, Xuanqi, Sreenath, Koushil, Liu, Yun-hui
Natural terrain complexity often necessitates agile movements like jumping in animals to improve traversal efficiency. To enable similar capabilities in quadruped robots, complex real-time jumping maneuvers are required. Current research does not ade
Externí odkaz:
http://arxiv.org/abs/2411.04494
Autor:
Weng, Yixuan, Zhu, Minjun, Bao, Guangsheng, Zhang, Hongbo, Wang, Jindong, Zhang, Yue, Yang, Linyi
The automation of scientific discovery has been a long-standing goal within the research community, driven by the potential to accelerate knowledge creation. While significant progress has been made using commercial large language models (LLMs) as re
Externí odkaz:
http://arxiv.org/abs/2411.00816
Autor:
Zhang, Hongbo, Li, Zhongyu, Zeng, Xuanqi, Smith, Laura, Stachowicz, Kyle, Shah, Dhruv, Yue, Linzhu, Song, Zhitao, Xia, Weipeng, Levine, Sergey, Sreenath, Koushil, Liu, Yun-hui
The enhanced mobility brought by legged locomotion empowers quadrupedal robots to navigate through complex and unstructured environments. However, optimizing agile locomotion while accounting for the varying energy costs of traversing different terra
Externí odkaz:
http://arxiv.org/abs/2410.10621
Autor:
He, Jing, Li, Haodong, Yin, Wei, Liang, Yixun, Li, Leheng, Zhou, Kaiqiang, Zhang, Hongbo, Liu, Bingbing, Chen, Ying-Cong
Leveraging the visual priors of pre-trained text-to-image diffusion models offers a promising solution to enhance zero-shot generalization in dense prediction tasks. However, existing methods often uncritically use the original diffusion formulation,
Externí odkaz:
http://arxiv.org/abs/2409.18124
Autor:
Shi, Lei, Liu, Zhimeng, Yang, Yi, Wu, Weize, Zhang, Yuyang, Zhang, Hongbo, Lin, Jing, Wu, Siyu, Chen, Zihan, Li, Ruiming, Wang, Nan, Liu, Zipeng, Tan, Huobin, Gao, Hongyi, Zhang, Yue, Wang, Ge
The extraction of Metal-Organic Frameworks (MOFs) synthesis conditions from literature text has been challenging but crucial for the logical design of new MOFs with desirable functionality. The recent advent of large language models (LLMs) provides d
Externí odkaz:
http://arxiv.org/abs/2408.04665
Autor:
Li, Jianhao, Sun, Tianyu, Wang, Zhongdao, Xie, Enze, Feng, Bailan, Zhang, Hongbo, Yuan, Ze, Xu, Ke, Liu, Jiaheng, Luo, Ping
This paper proposes an algorithm for automatically labeling 3D objects from 2D point or box prompts, especially focusing on applications in autonomous driving. Unlike previous arts, our auto-labeler predicts 3D shapes instead of bounding boxes and do
Externí odkaz:
http://arxiv.org/abs/2407.11382
Model Predictive Control (MPC) relies heavily on the robot model for its control law. However, a gap always exists between the reduced-order control model with uncertainties and the real robot, which degrades its performance. To address this issue, w
Externí odkaz:
http://arxiv.org/abs/2407.10124
Autor:
Yue, Linzhu, Zhang, Lingwei, Song, Zhitao, Zhang, Hongbo, Dong, Jinhu, Zeng, Xuanqi, Liu, Yun-Hui
Exploring the limits of quadruped robot agility, particularly in the context of rapid and real-time planning and execution of omnidirectional jump trajectories, presents significant challenges due to the complex dynamics involved, especially when con
Externí odkaz:
http://arxiv.org/abs/2407.00658
Diffusion Models (DMs) utilize an iterative denoising process to transform random noise into synthetic data. Initally proposed with a UNet structure, DMs excel at producing images that are virtually indistinguishable with or without conditioned text
Externí odkaz:
http://arxiv.org/abs/2406.11100