Zobrazeno 1 - 10
of 632
pro vyhledávání: '"A. Lepora"'
Autor:
Li, Chuanyu, Dang, Renjun, Li, Xiang, Wu, Zhiyuan, Xu, Jing, Kasaei, Hamidreza, Calandra, Roberto, Lepora, Nathan, Luo, Shan, Su, Hao, Chen, Rui
This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 2024 challenge, ManiSkill-ViTac 2025 includes 3 independent tracks: tacti
Externí odkaz:
http://arxiv.org/abs/2411.12503
Manipulating fragile objects in environments such as homes and factories requires stable and gentle grasping along with precise and safe placement. Compared to traditional rigid grippers, the use of soft grippers reduces the control complexity and th
Externí odkaz:
http://arxiv.org/abs/2409.15239
Autor:
Li, Haoran, Ford, Christopher J., Lu, Chenghua, Lin, Yijiong, Bianchi, Matteo, Catalano, Manuel G., Psomopoulou, Efi, Lepora, Nathan F.
For tendon-driven multi-fingered robotic hands, ensuring grasp adaptability while minimizing the number of actuators needed to provide human-like functionality is a challenging problem. Inspired by the Pisa/IIT SoftHand, this paper introduces a 3D-pr
Externí odkaz:
http://arxiv.org/abs/2406.12731
Autor:
Lu, Zhenyu, Yang, Jialong, Li, Haoran, Li, Yifan, Si, Weiyong, Lepora, Nathan, Yang, Chenguang
In this paper, we present the TacShade a newly designed 3D-printed soft optical tactile sensor. The sensor is developed for shape reconstruction under the inspiration of sketch drawing that uses the density of sketch lines to draw light and shadow, r
Externí odkaz:
http://arxiv.org/abs/2406.00485
Autor:
Yang, Max, Lu, Chenghua, Church, Alex, Lin, Yijiong, Ford, Chris, Li, Haoran, Psomopoulou, Efi, Barton, David A. W., Lepora, Nathan F.
Human hands are capable of in-hand manipulation in the presence of different hand motions. For a robot hand, harnessing rich tactile information to achieve this level of dexterity still remains a significant challenge. In this paper, we present AnyRo
Externí odkaz:
http://arxiv.org/abs/2405.07391
Grasping object,whether they are flat, round, or narrow and whether they have regular or irregular shapes,introduces difficulties in determining the ideal grasping posture, even for the most state-of-the-art grippers. In this article, we presented a
Externí odkaz:
http://arxiv.org/abs/2405.02897
Autor:
Comi, Mauro, Tonioni, Alessio, Yang, Max, Tremblay, Jonathan, Blukis, Valts, Lin, Yijiong, Lepora, Nathan F., Aitchison, Laurence
Touch and vision go hand in hand, mutually enhancing our ability to understand the world. From a research perspective, the problem of mixing touch and vision is underexplored and presents interesting challenges. To this end, we propose Tactile-Inform
Externí odkaz:
http://arxiv.org/abs/2403.20275
Simultaneous localisation and mapping (SLAM) algorithms are commonly used in robotic systems for learning maps of novel environments. Brains also appear to learn maps, but the mechanisms are not known and it is unclear how to infer these maps from ne
Externí odkaz:
http://arxiv.org/abs/2402.00588
Tactile sensing is significant for robotics since it can obtain physical contact information during manipulation. To capture multimodal contact information within a compact framework, we designed a novel sensor called ViTacTip, which seamlessly integ
Externí odkaz:
http://arxiv.org/abs/2402.00199
Autor:
Lloyd, John, Lepora, Nathan F.
Tactile servoing is an important technique because it enables robots to manipulate objects with precision and accuracy while adapting to changes in their environments in real-time. One approach for tactile servo control with high-resolution soft tact
Externí odkaz:
http://arxiv.org/abs/2312.08411