Mobile Robot
Mobile robots are autonomous systems designed to navigate and interact with their environment, with research focusing on improving their perception, navigation, and manipulation capabilities. Current efforts concentrate on enhancing robustness through sensor fusion (e.g., combining radar and vision data), efficient motion planning guided by natural language instructions or reinforcement learning, and reliable localization using techniques like visual odometry and polygon-based mapping. These advancements are crucial for expanding the applications of mobile robots in diverse fields, including manufacturing, logistics, healthcare, and exploration, by enabling safer, more efficient, and adaptable operation in complex and dynamic settings.
Papers
Biomolecular Analysis of Soil Samples and Rock Imagery for Tracing Evidence of Life Using a Mobile Robot
Shah Md Ahasan Siddique, Ragib Tahshin Rinath, Shakil Mosharrof, Syed Tanjib Mahmud, Sakib Ahmed
Efficient Dynamic LiDAR Odometry for Mobile Robots with Structured Point Clouds
Jonathan Lichtenfeld, Kevin Daun, Oskar von Stryk