ALT (a) VH uses 20k training iterations for each hardening step, for a total of ten steps to converge to ground truth in Case 1. (b) VH uses 20k/110k training iterations for each hardening step, for a total of ten steps to converge to ground truth in Case 2. Compared to Case 1, VH takes around 5.6 times longer to converge to the ground truth in Case 2.
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/hom…
🚀 Join us tomorrow (Apr, 14) at RoboSoft in San Diego for the Bio-inspired Soft Aerial workshop! Explore groundbreaking aerial robotics with us. Don't miss out! 🤖✈️ #RoboSoft2024#Robotics#Workshop
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 fun work on Soft-Bodied Drones for collision resilence and perching was also selected for this issue's cover on @SoftRobotics_JN. Please find the paper here: liebertpub.com/doi/full/10.1…
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 @UPRCA_Informa as a tenure-track faculty member. Congrats and good luck to your new chapter as a professor!
Recent research proposes and develops a lightweight, inflatable, soft-bodied aerial robot that can pneumatically vary its body stiffness to achieve intrinsic collision resilience. #softroboticsliebertpub.com/doi/10.1089/s…
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/237…
Congratulations @patnaiKarishma 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!
Check out our paper “Learning Post-Stroke Gait Training Strategies by Modeling Patient-Therapist Interaction" published in IEEE T-NSRE! We aimed to achieve effective robot-aided gait training by incorporating the expertise of therapists in stroke rehab. doi.org/10.1109/TNSRE.2023.3…
We custom designed a wearable sensing system to measure lower-limb kinematics of patients and assistive force applied by therapists. This data is used to directly learn a virtual impedance model that captures therapist's assistive strategies and predicts their assistive torque.
This work is led by my students Mostafa Rezayat and Mason Smith. Special thanks to our collaborator at Barrow Neurological Institute and @NSF for the support!
New paper alert! Led by @patnaiKarishma, our work on adaptive attitude control for foldable quadrotors is published @CSSIEEE L-CSS! We employed switched systems theory to find switching conditions between different configurations and integrate them into a trajectory planner.
This work highlights the needs to co-design planner and controller for morphing robots. We validate the proposed algorithms by simulating a foldable quadrotor’s flight through a passageway. Paper: ieeexplore.ieee.org/abstract…. We will also present this work @ACC_Control. Check it out!
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 :)
A fully packed room to celebrate the birth of the newest school @ASUEngineering. Excited to be part of the new School of Manufacturing Systems and Networks! @MSNatASU