Actuated UAV Platform
Actuated UAV platforms, encompassing various designs from multirotor configurations to snake-like robots, are a focus of robotics research aiming to improve control and maneuverability in over-actuated systems. Current research emphasizes developing efficient control algorithms, such as reinforcement learning techniques and genetic algorithms, to manage the redundancy inherent in these systems, often incorporating models that account for complex dynamics like downwash effects and contact interactions. This work is significant for advancing autonomous navigation, manipulation, and fault tolerance in aerial and ground robots, with applications ranging from industrial inspection to planetary exploration.
Papers
Non-impulsive Contact-Implicit Motion Planning for Morpho-functional Loco-manipulation
Adarsh Salagame, Kruthika Gangaraju, Harin Kumar Nallaguntla, Eric Sihite, Gunar Schirner, Alireza Ramezani
Loco-Manipulation with Nonimpulsive Contact-Implicit Planning in a Slithering Robot
Adarsh Salagame, Kruthika Gangaraju, Harin Kumar Nallaguntla, Eric Sihite, Gunar Schirner, Alireza Ramezani