5 accepted papers
This work addresses the challenge of safe and efficient mobile robot navigation in complex dynamic environments with concave moving obstacles. Reactive safe controllers like Control Barrier Functions (CBFs) design obstacle avoidance strategies based only on the current states of the obstacles, riski
This paper proposes an integrated approach for the safe and efficient control of mobile robots in dynamic and uncertain environments. The approach consists of two key steps: one-shot multimodal motion prediction to anticipate motions of dynamic obstacles and model predictive control to incorporate t
For safe and flexible navigation in multi-robot systems, this paper presents an enhanced and predictive sampling-based trajectory planning approach in complex environments, the Gradient Field-based Dynamic Window Approach (GF-DWA). Building upon the dynamic window approach, the proposed method utili
Efficient motion planning and control for multiple mobile robots in industrial automation and indoor logistics face challenges such as trajectory generation and collision avoidance in complex environments. We propose a hybrid, sequential method combining Bird’s-Eye-View vision-based continuous Deep…
To explore safe interactions between a mobile robot and dynamic obstacles, this letter presents a comprehensive approach to collision-free navigation in dynamic indoor environments. The approach integrates Multimodal Motion Predictions (MMPs) of dynamic obstacles with predictive control for obstacle