Aerial Locomotion
Aerial locomotion research focuses on developing robots capable of seamlessly transitioning between walking and flying, mimicking the versatility of animals like birds. Current efforts concentrate on developing robust control algorithms, often employing reinforcement learning and whole-body trajectory optimization, to manage the complex dynamics of these multimodal robots, with various architectures including quadrupedal and humanoid designs incorporating distributed rotors or bio-inspired flapping wings. This research advances robotics by creating more adaptable and efficient robots for applications such as search and rescue, surveillance, and exploration in diverse and challenging environments.
Papers
Enhanced Capture Point Control Using Thruster Dynamics and QP-Based Optimization for Harpy
Shreyansh Pitroda, Eric Sihite, Taoran Liu, Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Adarsh Salagame, Reza Nemovi, Alireza Ramezani, Morteza Gharib
Conjugate momentum based thruster force estimate in dynamic multimodal robot
Shreyansh Pitroda, Eric Sihite, Taoran Liu, Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Adarsh Salagame, Reza Nemovi, Alireza Ramezani, Morteza Gharib