Among approaches for provably safe reinforcement learning, Model Predictive Shielding
(MPS) has proven effective at complex tasks in continuous, high-dimensional state spaces …

This paper proposes a novel curriculum learning approach for collision avoidance using
feedback from the deep reinforcement learning (DRL) training process. Previous research …

Human following is a crucial feature of human-robot interaction, yet it poses numerous
challenges to mobile agents in real-world scenarios. Some major hurdles are that the target …

Humanoid robots have significant gaps in their sensing and perception, making it hard to
perform motion planning in dense environments. To address this, we introduce ARMOR, a …

Fruit picking is a process in which a serial-linked robotic arm uses an end-effector for
grasping fruit to minimize human effort, workload, accuracy, and efficiency. The real-world …