3 accepted papers
Multimodal Large Language Models (MLLMs) increasingly need to forget specific knowledge, such as unsafe or private information, without full retraining. However, existing unlearning methods often disrupt vision-language alignment, causing models to reject both harmful and benign queries simultaneous
Coordinated defensive escorts can aid a navigating payload by positioning themselves strategically in order to maintain the safety of the payload from obstacles. In this letter, we present a novel, end-to-end solution for coordinating an escort team for protecting high-value payloads in a space crow
Deep Reinforcement Learning (RL) has recently emerged as a solution for moving obstacle avoidance. Deep RL learns to simultaneously predict obstacle motions and corresponding avoidance actions directly from robot sensors, even for obstacles with different dynamics models. However, deep RL methods ty…