30 citations · 50 across the 18 of their papers we have counts for
5 papers · 1 filter
ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing
Chuanyu Li, Renjun Dang, Xiang Li +8
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 202…
TacPalm: A Soft Gripper with a Biomimetic Optical Tactile Palm for Stable Precise Grasping
Xuyang Zhang, Tianqi Yang, Dandan Zhang +1
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 gr…
TacShade A New 3D-printed Soft Optical Tactile Sensor Based on Light, Shadow and Greyscale for Shape Reconstruction
Zhenyu Lu, Jialong Yang, Haoran Li +4
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 dra…
BrainSLAM: SLAM on Neural Population Activity Data
Kipp Freud, Nathan Lepora, Matt W. Jones +1
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 mech…
ViTacTip: Design and Verification of a Novel Biomimetic Physical Vision-Tactile Fusion Sensor
Wen Fan, Haoran Li, Weiyong Si +3
Tactile sensing is significant for robotics since it can obtain physical contact information during manipulation. To capture multimodal contact information within a compact framewo…