2 papers
cs.RO2025
Maintaining Plasticity in Reinforcement Learning: A Cost-Aware Framework for Aerial Robot Control in Non-stationary Environments
Ali Tahir Karasahin, Ziniu Wu, Basaran Bahadir Kocer
Reinforcement learning (RL) has demonstrated the ability to maintain the plasticity of the policy throughout short-term training in aerial robot control. However, these policies ha…
cs.RO2025
Tendon-driven Grasper Design for Aerial Robot Perching on Tree Branches
Haichuan Li, Ziang Zhao, Ziniu Wu +6
Protecting and restoring forest ecosystems has become an important conservation issue. Although various robots have been used for field data collection to protect forest ecosystems…