Robot Simulation
Robot simulation is a crucial tool for developing and testing robotic algorithms and systems, aiming to bridge the gap between simulated and real-world performance. Current research emphasizes creating highly realistic and efficient simulators, often leveraging advanced rendering techniques like physically-based rendering and GPU parallelization, as well as incorporating large language models for automated task generation and data augmentation. These advancements are significantly impacting robotics research by enabling faster algorithm development, more robust sim-to-real transfer, and the creation of large, diverse datasets for training complex robotic behaviors, ultimately accelerating progress in areas like manipulation, navigation, and human-robot interaction.
Papers
Coordinating robotized construction using advanced robotic simulation: The case of collaborative brick wall assembly
Mohammad Reza Kolani, Stavros Nousias, André Borrmann
Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations
Victor A. Kich, Jair A. Bottega, Raul Steinmetz, Ricardo B. Grando, Ayanori Yorozu, Akihisa Ohya