New Journal Launch: IEEE Transactions on Robot Learning (T-RL)

Todd Murphey (Northwestern University) and Vincent Vanhoucke (Waymo), the founding co-Editors-in-Chief of T-RL, will work closely with an Editorial Board and the T-RL Advisory Board including Aude Billard (EPFL), Ken Goldberg (UC Berkeley), and Frank Park (Seoul National University).

Examples of topics within the scope of T-RL include, but are not limited to:

• Methods tailored to challenges such as robustness and generalizability.
• Methods for data collection and policy training.  ,  
• Transfer learning across robotic platforms, tasks, and environments.
• Algorithmic advances in AI-based control of robots and automation systems that offer safety and reliability guarantees
• Robot learning algorithms for human-robot collaboration, such as methods for prediction of human behavior
• Explainable and transparent AI-driven control of robots and automation systems
• Building trust
• Attributing responsibility.

We invite you to follow along for our first call for papers and the inaugural issue. 

For more info: https://www.ieee-ras.org/publications/t-rl/