6 citations · 11 across the 4 of their papers we have counts for
4 papers
CompetEvo: Towards Morphological Evolution from Competition
Kangyao Huang, Di Guo, Xinyu Zhang +2
Training an agent to adapt to specific tasks through co-optimization of morphology and control has widely attracted attention. However, whether there exists an optimal configuratio…
Stimulate the Potential of Robots via Competition
Kangyao Huang, Di Guo, Xinyu Zhang +2
It is common for us to feel pressure in a competition environment, which arises from the desire to obtain success comparing with other individuals or opponents. Although we might g…
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer
Xinyu Zhang, Li Wang, Zhiqiang Jiang +6
Local Feature Matching, an essential component of several computer vision tasks (e.g., structure from motion and visual localization), has been effectively settled by Transformer-b…
Heterogeneous Embodied Multi-Agent Collaboration
Xinzhu Liu, Di Guo, Huaping Liu
Multi-agent embodied tasks have recently been studied in complex indoor visual environments. Collaboration among multiple agents can improve work efficiency and has significant pra…