3 accepted papers
Learning open-vocabulary physical skills for simulated agents presents a significant challenge in artificial intelligence. Current reinforcement learning approaches face critical limitations: manually designed rewards lack scalability across diverse tasks, while demonstration-based methods struggle…
Autonomous navigation of unmanned ground vehicles (UGVs) in structured road and indoor environments has made significant progress in recent years. However, navigation in outdoor semi-structured environments remains a challenge. This paper presents the multiscale path planning (MPP) method for UGV na…
Although Model Predictive Control (MPC) can effectively predict the future states of a system and thus is widely used in robotic manipulation tasks, it does not have the capability of environmental perception, leading to the failure in some complex scenarios. To address this issue, we introduce Visi…