Paper-Conference

TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach

We develop a Real-to-Sim-to-Real approach that enables learning tie-knotting skills for robots.

Nov 6, 2024

ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots
ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots

We develop a foundation model on robotic manipulation via modeling contact points on the object.

Oct 14, 2024

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

We develop a deep image compression model that leverages the uneven information distribution within the latent variables for efficient image compression.

Jun 19, 2022