3 papers
cs.RO2026
TaCo: A Benchmark for Lossless and Lossy Codecs of Heterogeneous Tactile Data
Zhengxue Cheng, Yan Zhao, Keyu Wang +2
Tactile sensing is crucial for embodied intelligence, providing fine-grained perception and control in complex environments. However, efficient tactile data compression, which is e…
cs.RO2025
TacCompress: A Benchmark for Multi-Point Tactile Data Compression in Dexterous Hand
Yan Zhao, Yang Li, Zhengxue Cheng +2
Though robotic dexterous manipulation has progressed substantially recently, challenges like in-hand occlusion still necessitate fine-grained tactile perception, leading to the int…
cs.CV2025
DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor
Yan Zhao, Zhengxue Cheng, Junxuan Zhang +3
Most learning-based lossless compressors are designed for a single modality, requiring separate models for multi-modal data and lacking flexibility. However, different modalities v…