CNET has been testing robot vacuums for years, but we're always refining our testing procedures. Here's the process we use to evaluate robot vacuums for cleaning, navigation performance, obstacle ...

Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off.

Abstract: The inherent black-box nature of deep reinforcement learning (DRL) poses challenges in ensuring safety constraints. This paper, therefore, introduces a DRL reward design inspired by Lyapunov ...

Abstract: We present a cooperative decentralized obstacle avoidance approach for a group of ground-based robots moving in an environment with dynamic obstacles. The objectives of this work are to ...