Refine
Year of publication
- 2015 (36) (remove)
Document Type
- Conference Proceeding (22)
- Article (8)
- Part of a Book (5)
- Book (1)
Keywords
- Charging stations (1)
- Discrete Optimisation (1)
- E-carsharing (1)
- E-mobility (1)
- Efficiency (1)
- Energy (1)
- Fully connected car (1)
- Inductive charging (1)
- Information and communication technology (1)
- Integrated mobility (1)
- Mobility management (1)
- TGA (1)
- Urban areas (1)
- Ventilation System (1)
- availability (1)
- energy efficiency (1)
- energy transfer (1)
- heating system (1)
- mixed-integer linear programming (1)
- programming (1)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (36) (remove)
The main objective of our ROS Summer School series is to introduce MA level students to program mobile robots with the Robot Operating System (ROS). ROS is a robot middleware that is used my many research institutions world-wide. Therefore, many state-of-the-art algorithms of mobile robotics are available in ROS and can be deployed very easily. As a basic robot platform we deploy a 1/10 RC cart that is wquipped with an Arduino micro-controller to control the servo motors, and an embedded PC that runs ROS. In two weeks, participants get to learn the basics of mobile robotics hands-on. We describe our teaching concepts and our curriculum and report on the learning success of our students.
Rugged terrain robot designs are important for field robotics missions. A number of commercial platforms are available, however, at an impressive price. In this paper, we describe the hardware and software component of a low-cost wheeled rugged-terrain robot. The robot is based on an electric children quad bike and is modified to be driven by wire. In terms of climbing properties, operation time and payload it can compete with some of the commercially available platforms, but at a far lower price.
Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.