The article presents a novel framework for mobile robot navigation in crowded spaces. The study introduces three major contributions to improve the coexistence of humans and robots. The first is…
Continue readingThe paper discusses a novel Deep Reinforcement Learning (DRL) algorithm for designing optimal control policies for robots in unknown environments. The algorithm uses a mission-driven exploration strategy to prioritize exploration…
Continue readingThe article discusses SICNav, a method for safe and interactive crowd navigation for robots. The system uses Model Predictive Control (MPC) to predict and react to human movements, avoiding collisions….
Continue readingThe study focuses on predicting human movement in dynamic environments to enable safe and effective robot navigation. The researchers present a Transformer-based architecture that uses input features such as human…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
