The paper describes experience with applying a user-centric design methodology in
developing systems for human-robot teaming in Urban Search and Rescue. A human-robot …

Point-cloud is a widely used representation for objects and scenes. It generally consists of a
large amount of 3D coordinates of points describing reflective surfaces. A subtle problem is …

This paper describes the project TRADR: Long-Term Human-Robot Teaming for Robot
Assisted Disaster Response. Experience shows that any incident serious enough to require …

The congregation of crowd undoubtedly constitutes an important risk factor, which may
endanger the safety of the gathered people. The solution reported against this significant …

This paper describes our experience in designing, developing and deploying systems for
supporting human–robot teams during disaster response. It is based on R&D performed in …

Robust representation of actions and its sequences for complex robotic tasks would
transform robot's understanding to execute robotic tasks efficiently. The challenge is to …

Over the past few decades, topological segmentation has been much studied, especially for
structured environments. In this work, we first propose a set of criteria to assess the quality of …

In this paper, we present a novel semi-supervised clustering approach based on Markov
process. It deals with data which include abundant local constraints. We apply the designed …

Swarm robot systems are widely applied in the warehouse logistics, which effectively
improve logistics efficiency. Task allocation is the core problem for swarm robot systems …

The cloud transforms the potential of robotics, which enable poor-equipped robots to fulfill
complex tasks. Robots are relieved from hardware limitation, while large amount of available …