Reinforcement learning (RL) offers a promising solution for controlling humanoid robots, particularly for bipedal locomotion, by learning adaptive and flexible control strategies. However, direct RL application is hindered by time-consuming trial-and-error processes, necessitating training in simulation before real-world transfer. This introduces a reality gap that degrades … [Read more...] about Bridging the Reality Gap: Analyzing Sim-to-Real Transfer Techniques for Reinforcement Learning in Humanoid Bipedal Locomotion
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Visual Place Recognition: A Tutorial [Tutorial]
Localization is an essential capability for mobile robots, enabling them to build a comprehensive representation of their environment and interact with the environment effectively toward a goal. A rapidly growing field of research in this area is visual place recognition (VPR), which is the ability to recognize previously seen places in the world based solely on images. For … [Read more...] about Visual Place Recognition: A Tutorial [Tutorial]
New Era in Cultural Heritage Preservation: Cooperative Aerial Autonomy for Fast Digitalization of Difficult-to-Access Interiors of Historical Monuments
Digital documentation of large interiors of historical buildings is an exhausting task as most of the areas of interest are beyond typical human reach. We advocate the use of fully autonomous teams of cooperating multirotor UAVs to speed up the documentation process by several orders of magnitude while allowing for a repeatable, accurate, and condition-independent solution … [Read more...] about New Era in Cultural Heritage Preservation: Cooperative Aerial Autonomy for Fast Digitalization of Difficult-to-Access Interiors of Historical Monuments
