AI for Design and Control of Advanced Robots

Artificial Intelligence, Machine Learning, and Deep Learning have revolutionized the field of advanced robotics in recent years, making robots more intelligent, efficient, and adaptable to complex tasks and environments. They are playing important roles in robotic structure design, data perception, path planning, motion control, behavioral decision-making, and collaboration.

Although they offer many opportunities for robotics, there are also many challenges that must be addressed in order to fulfil their full potential. The Research Topic will focus on the field of AI techniques that aid the design and control of robots, highlighting innovations that aim to improve adaptiveness, dexterity, and reliability in robotic manipulations. Contributions may include research on design and control for soft robots, humanoid robots, underwater robots, and flying robots.

Scope includes but is not limited to design and application of:
- Robot Design
- AI for Robotic Design
- Collaborative Robotic Manipulation
- Humanoid Robots
- Soft Robots
- Robotic Control
- AI for Motion Planning
- AI for Robotic Perception
- AI for Robotic Control
- Decision-making of Robots

Keywords: Artificial intelligence, robotic design, robotic control, humanoid robot

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.