3 papers
cs.CV2026
Unified Number-Free Text-to-Motion Generation Via Flow Matching
Guanhe Huang, Oya Celiktutan
Generative models excel at motion synthesis for a fixed number of agents but struggle to generalize with variable agents. Based on limited, domain-specific data, existing methods e…
cs.RO2025
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Ruiqi Zhu, Endong Sun, Guanhe Huang +1
Continual adaptation is essential for general autonomous agents. For example, a household robot pretrained with a repertoire of skills must still adapt to unseen tasks specific to…
cs.RO2024
Cross Domain Policy Transfer with Effect Cycle-Consistency
Ruiqi Zhu, Tianhong Dai, Oya Celiktutan
Training a robotic policy from scratch using deep reinforcement learning methods can be prohibitively expensive due to sample inefficiency. To address this challenge, transferring…