Mobile robots can perform tasks on the move, including exploring terrain, discovering
landmark features, or moving a load from one place to another. This group of robots is …

We propose a dual-resolution scheme to achieve time-efficient autonomous exploration with
one or many robots. The scheme maintains a high-resolution local map of the robot's …

Multi-robot systems gain considerable attention due to lower cost, better robustness, and
higher scalability as compared with single-robot systems. Cooperative object transport, as a …

Driven by advancements in Industry 4.0, the Internet of Things (IoT), digital twins (DT), and
cyber–physical systems (CPS), there is a growing interest in the digitalizing of asset integrity …

Networked robots have become crucial for unmanned applications since they can
collaborate to complete complex tasks in remote/hazardous/depopulated areas. Due to the …

Robotics has dramatically increased our ability to gather data about our environments. This
is an opportune time for the robotics and algorithms community to come together to …

Although communication delays can disrupt multiagent systems, most of the existing
multiagent trajectory planners lack a strategy to address this issue. State-of-the-art …

We consider the semantics-aware remote estimation of a discrete-state Markov source with
normal (low-priority) and alarm (high-priority) states. Erroneously announcing a normal state …

In our fast-paced, technology-driven world, multi-robot systems have emerged as crucial
solutions to tackle contemporary challenges, from industrial automation to disaster …

Multiple modern robotic applications benefit from centralized cognition and processing
schemes. However, modern equipped robotic platforms can output a large amount of data …