Developing software systems is a complex activity that involves numerous tasks that are critical for a successful release. Increasing size of software systems, software maintenance, versioning and distributed global development combined with ever growing expectations from users complicate development. Using a well-designed software development platform one can automate and simplify considerable...

The written contributions and comments received in relation to the previous and this version of the Research Roadmap have been summarised. That summary and the specific observations from the editors are provided in the Annexes to this version of the Roadmap.

In this presentation, we will introduce and explain a research roadmap for Future Internet enterprise systems. This research roadmap has been developed by the community of scientists, developers and other stakeholders in the context of the “Future Internet Enterprise Systems” cluster, managed by the “Internet of Things and Networked Enterprise” unit of the Information Society and Media General-...

This paper presents an online multi-query path planner for exploration tasks planned onboard an unmanned helicopter. While the desirable properties of roadmaps can be exploited in o ine path planning, the dynamic nature of exploration scenarios hinders to utilize conventional roadmap planners. Hence, the presented path planning approach utilizes a deterministically sampled roadmap which is dyna...

A central problem in robotics is planning a collision-free path for a robot in a static environment with obstacles. Such a path is usually extracted from a roadmap that represents the connectedness of the free space. Contemporary algorithms generally do not give guarantees on the quality of the roadmap, and, hence, the quality of the paths. While techniques exist for optimizing the paths in the...

We propose a new approach to solving the point-to-point inverse kinematics problem for highly redundant manipulators. It is inspired by recent motion planning research and explicitly takes into account constraints due to joint limits and self-collisions. Central to our approach is the novel notion of kinematic roadmap for a manipulator. The kinematic roadmap captures the connectivity of the con...

In roadmap-based methods, such as the Probabilistic Roadmap Method (PRM) in deterministic environments or the Feedbackbased Information RoadMap (FIRM) in partially observable probabilistic environments, a stabilizing controller is needed to guarantee node reachability in state or belief space. In belief space, it has been shown that the belief-node reachability can be achieved using stationary ...

A key intuition behind probabilistic roadmap planners for motion planning is that many collision-free paths potentially exist between two given robot configurations. Hence the connectivity of a robot’s free space can be captured effectively by a network of randomly sampled configurations. In this paper, a similar intuition is exploited to preprocess molecular motion pathways and efficiently com...

Motion planning for robotic arms is important for real, physical world applications. The planning for arms with high degree-of-freedom (DOF) is hard because its search space is large (exponential in the number of joints), and the links may collide with static obstacles or its joints (self-collision). In this paper we present a factor-guided sampling based motion planning algorithm that finds pl...