Single Robot
Single-robot research focuses on enhancing individual robot capabilities and autonomy, addressing challenges like navigation in complex environments, efficient energy management, and robust control strategies. Current research emphasizes developing advanced algorithms, such as model predictive control and behavior trees, alongside novel actuator designs and modular control architectures to improve performance and adaptability. These advancements are significant for optimizing resource utilization in applications ranging from planetary exploration to collaborative manipulation tasks, and for creating more robust and efficient robots for various domains.
Papers
MeMo: Meaningful, Modular Controllers via Noise Injection
Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik
Reconfiguration Algorithms for Cubic Modular Robots with Realistic Movement Constraints
NASA Space Robots Team, Josh Brunner, Kenneth C. Cheung, Erik D. Demaine, Jenny Diomidova, Christine Gregg, Della H. Hendrickson, Irina Kostitsyna