Top Papers
The following papers were awarded a prize in recognition of their novelty and innovation at our workshop.
Injecting Global Insights into Local Contact-Implicit MPC
Diffusion-based Inverse Observation Model for Artificial Skin
PolarTact3D: Single-shot Tactile 3D Shape and Color Sensing with Polarization Imaging
Learning Multi-Contact Localization via Diffusion Models with Proprioceptive Sensing - Seo Wook Han and Min Jun Kim
RoboPanoptes: The All-Seeing Robot with Whole-body Dexterity - Xiaomeng Xu, Dominik Bauer, and Shuran Song
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation - Jiangran Lyu, Ziming Li, Xuesong Shi, Chaoyi Xu, Yizhou Wang, and He Wang
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation - Han Xue, Jieji Ren, Wendi Chen, Gu Zhang, Yuan Fang, Guoying Gu, Huazhe Xu, and Cewu Lu
Dual-Mode Photochromic VBTS: Switching Between Geometry Reconstruction and Deformation Tracking - Zhiqiang Ren
Convex MPC for Systems with Contact via the Koopman Operator - Jasmine Terrones, Cormac O’Neill, and H. Harry Asada
eFlesh: Highly customizable Magnetic Touch Sensing using Cut-Cell Microstructures - Venkatesh Pattabiraman
Injecting Global Insights into Local Contact-Implicit MPC - Bibit Bianchini, Sharanya Venkatesh, Alp Aydinoglu, William Yang, and Michael Posa
PolarTact3D: Single-shot Tactile 3D Shape and Color Sensing with Polarization Imaging - Kai Garcia, Mairi Yoshioka, Huaijin Chen, Tyler Ray, Tianlu Wang, Frances Zhu
Diffusion-based Inverse Observation Model for Artificial Skin - Ante Maric, Julius Jankowski, Giammarco Caroleo, Alessandro Albini, Perla Maiolino, Sylvain Calinon
BioThermoTac: A Biomimetic Vision-based Tactile Sensors with Integrated Temperature Sensing - Zhiqiang Ren
Leveraging touch for dexterous behavior discovery and deployment -
AnySkin + Feel the Force: Sensing and Learning from Tactile Data in Robotics
DEXO lightweight exoskeleton - Haoshu Fang