Curriculum-Based Deep Reinforcement Learning for Explosive Jumping in Quadruped Robots

Legged animals possess extraordinary agility with which they can gracefully traverse a wide range of environments, from running through grasslands to jumping across cliffs and climbing nearly vertical walls. Inspired by this, in this work, we use Deep Reinforcement Learning to give legged robots the ability to perform a diverse set of highly...

Robust Autopilot Design by Structured H∞ Loop Shaping: An Agile Aerospace Vehicle Application

This study demonstrates an effective systematic control design procedure by applying H∞ Loop-Shaping with a structured controller on an agile aerospace vehicle with a focus on automation. The gain-scheduled implementation is additionally described and tested with non-linear simulations, including a realistic moving point-hit scenario with...

Agile risk management: Enhancing the risk management process in projects through agile principles, methods and tools

A construction project is inherently complex, involving numerous stakeholders, lengthy timelines, and intricate relationships, leading to significant risk potential. The increased complexity of construction projects and the fact that a large percentage of projects are still delivered with significant delays and cost overruns has led to the...

Short-cyclic scheduling in construction projects: An exploratory study on finding the critical project factors for determining the appropriateness of projects for short-cyclic scheduling during the realization phase

To cope with the current problems in the construction industry, project managers and scholars seek new methods to turn the tide. Many scholars blame traditional management approaches for cost overruns and delays occurring in current projects. To find solutions, project managers introduce tools from various sectors that have coped with similar...