A fully packed room to celebrate the birth of the newest school ASU Ira A. Fulton Schools of Engineering. Excited to be part of the new School of Manufacturing Systems and Networks! MSN@ASU

What an epic game!

We enjoyed some hiking, chatting, and (of course) nice food to celebrate the end of 2022!! So happy we got together after almost 3 years of social distancing. It was great to hear everyone’s fun stories other than research and papers :)

Congratulations Karishma Patnaik for delivering a wonderful dissertation talk! Thank you all for joining in person and online. Karishma made excellent contributions to design, control, and planning of morphing and collision-resilient drones. She is #6 PhD graduate from our lab!

An inflatable drone can perch on a wide variety of objects by colliding with them – taking advantage of its soft-body physics to increase its contact time with the landing zone without bouncing off Learn more: newscientist.com/article/237010…

Recent research proposes and develops a lightweight, inflatable, soft-bodied aerial robot that can pneumatically vary its body stiffness to achieve intrinsic collision resilience. #softrobotics liebertpub.com/doi/10.1089/so…

Excited to announce my student Emiliano Quiñones Yumbla has successfully defended his PhD dissertation on sensing, control, and testing of wearable soft robot! He will join UPR Carolina Informa as a tenure-track faculty member. Congrats and good luck to your new chapter as a professor!

Our work on soft aerial robot made the cover on Soft Robotics! Please check it out if you have not done so :)

We are at ieeeIROS! My student Weijia Tao will present WHOPPEr Drone, which uses its compliant body to perch and transport objects (TuAT4, 140D). I will present our work with Spring Berman's team on configuration tracking control of soft robotic arm (MoAT6, 140FG)! #IROS2023

Our full-day workshop on Bio-inspired Soft Aerial Robotics will start at 8 am tomorrow in Room Encore 2. We look forward to seeing you there! soft-aerial-robotics.com/home

Check out this exciting work on learning safety constraints from human feedback, led by my colleague Wan𝕏in Jin ASU Ira A. Fulton Schools of Engineering !!

Researchers from ASU Ira A. Fulton Schools of Engineering develop a new algorithm for human robot interaction that relies upon efficiently solving complex partial differential equations using a novel hybrid learning approach. ieeexplore.ieee.org/document/10552… #NeuralNetworks #HumanRobotInteraction #robots