3 papers
cs.RO2025
ManiVID-3D: Generalizable View-Invariant Reinforcement Learning for Robotic Manipulation via Disentangled 3D Representations
Zheng Li, Pei Qu, Yufei Jia +6
Deploying visual reinforcement learning (RL) policies in real-world manipulation is often hindered by camera viewpoint changes. A policy trained from a fixed front-facing camera ma…
cs.AI2025
ImitDiff: Transferring Foundation-Model Priors for Distraction Robust Visuomotor Policy
Yuhang Dong, Haizhou Ge, Yupei Zeng +9
Visuomotor imitation learning policies enable robots to efficiently acquire manipulation skills from visual demonstrations. However, as scene complexity and visual distractions inc…
cs.LG2024
Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platforms
Haizhou Ge, Ruixiang Wang, Zhu-ang Xu +7
Advanced imitation learning with structures like the transformer is increasingly demonstrating its advantages in robotics. However, deploying these large-scale models on embedded p…