Zobrazeno 1 - 10
of 701
pro vyhledávání: '"Liu, Yun‐Hui"'
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:
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
Unseen Object Instance Segmentation (UOIS) is crucial for autonomous robots operating in unstructured environments. Previous approaches require full supervision on large-scale tabletop datasets for effective pretraining. In this paper, we propose UOI
Externí odkaz:
http://arxiv.org/abs/2409.15481
Autor:
Cheng, Lei, Hu, Junpeng, Yan, Haodong, Gladkova, Mariia, Huang, Tianyu, Liu, Yun-Hui, Cremers, Daniel, Li, Haoang
Photometric bundle adjustment (PBA) is widely used in estimating the camera pose and 3D geometry by assuming a Lambertian world. However, the assumption of photometric consistency is often violated since the non-diffuse reflection is common in real-w
Externí odkaz:
http://arxiv.org/abs/2409.11854
Autor:
Tang, Weiliang, Pan, Jia-Hui, Zhan, Wei, Zhou, Jianshu, Yao, Huaxiu, Liu, Yun-Hui, Tomizuka, Masayoshi, Ding, Mingyu, Fu, Chi-Wing
Observing that the key for robotic action planning is to understand the target-object motion when its associated part is manipulated by the end effector, we propose to generate the 3D object-part scene flow and extract its transformations to solve th
Externí odkaz:
http://arxiv.org/abs/2409.10032
Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally invasive procedures. Novel View Synthesis is a vital technique that offers geometry and appearance reconstruction, enhancing understanding, planning,
Externí odkaz:
http://arxiv.org/abs/2409.02917
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
Surgical phase recognition is crucial for enhancing the efficiency and safety of computer-assisted interventions. One of the fundamental challenges involves modeling the long-distance temporal relationships present in surgical videos. Inspired by the
Externí odkaz:
http://arxiv.org/abs/2407.08333
Real-time 3D reconstruction of surgical scenes plays a vital role in computer-assisted surgery, holding a promise to enhance surgeons' visibility. Recent advancements in 3D Gaussian Splatting (3DGS) have shown great potential for real-time novel view
Externí odkaz:
http://arxiv.org/abs/2407.02918
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