We present a general vision-based method for reconstructing multiple unknown objects (e.g. humans) within a known environment (e.g. tables, racks, robots) which usually has occlusions. These occlusions have to be explicitly considered since parts of the unknown objects might be hidden in some or even all camera views. In order to avoid cluttered reconstructions, plausibility checks are used to ...

Motion capture has been recently used to provide much of character motion in several recent theatrical releases. It generally requires the recording to be done in an indoor environment with controlled light setting. This prevents directors from capturing motion in a natural setting or a large environment. In this paper we propose a method to solve this problem of motion capture in an unknown an...

Operating in an unknown environment is inherent to autonomous systems. This paper addresses two problems concerning efficient navigation in unknown environments. First, multiple agents can have increased performance compared to single agents. The problem of determining strategies for a cooperating group of robots in an unknown environment in order to perform a task more efficiently than a singl...

This paper describes a novel autonomous ground vehicle that is designed for exploring unknown environments which contain sources of ionising radiation, such as might be found in nuclear disaster site or legacy facility. While the environment, it important robot avoids radiation hot spots to minimise breakdowns. Broken down robots present real problem: they not only cause mission fail but can bl...